Tootfinder

On the calculation of p-values for quadratic statistics in Pulsar Timing Arrays
Rutger van Haasteren
https://arxiv.org/abs/2506.10811 https://

On the calculation of p-values for quadratic statistics in Pulsar Timing Arrays
Pulsar Timing Array (PTA) projects have reported various lines of evidence suggesting the presence of a stochastic gravitational wave (GW) background in their data. One key line of evidence involves a detection statistic sensitive to inter-pulsar correlations, such as those induced by GWs. A $p$-value is then calculated to assess how unlikely it is for the observed signal to arise under the null hypothesis $H_0$, purely by chance. However, PTAs cannot empirically draw samples from $H_0$. As a w…

Computational Complexity of Statistics: New Insights from Low-Degree Polynomials
Alexander S. Wein
https://arxiv.org/abs/2506.10748 https://

Computational Complexity of Statistics: New Insights from Low-Degree Polynomials
This is a survey on the use of low-degree polynomials to predict and explain the apparent statistical-computational tradeoffs in a variety of average-case computational problems. In a nutshell, this framework measures the complexity of a statistical task by the minimum degree that a polynomial function must have in order to solve it. The main goals of this survey are to (1) describe the types of problems where the low-degree framework can be applied, encompassing questions of detection (hypothe…

Enumerating several statistics of r-Colored Dyck paths with no dd-steps having the same colors
Yidong Sun, Jinyi Wang, Xinyu Wang
https://arxiv.org/abs/2506.08407

Enumerating several statistics of r-Colored Dyck paths with no dd-steps having the same colors
An $r$-colored Dyck path is a Dyck path with all $\mathbf{d}$-steps having one of $r$ colors in $[r]=\{1, 2, \dots, r\}$. In this paper, we consider several statistics on the set $\mathcal{A}_{n,0}^{(r)}$ of $r$-colored Dyck paths of length $2n$ with no two consecutive $\mathbf{d}$-steps having the same colors. Precisely, the paper studies the statistics ``number of points" at level $\ell$, ``number of $\mathbf{u}$-steps" at level $\ell+1$, ``number of peaks" at level $\ell+1$ and ``number of $…

Time-domain field correlation measurements enable tomography of highly multimode quantum states of light
Emanuel Hubenschmid, Guido Burkard
https://arxiv.org/abs/2506.10483

Time-domain field correlation measurements enable tomography of highly multimode quantum states of light
Recent progress in ultrafast optics facilitates the investigation of the dynamics of highly multimode quantum states of light, as demonstrated by the application of electro-optic sampling to quantum states of the electromagnetic field. Yet, the complete tomographic reconstruction of optical quantum states with prior unknown statistics and dynamics is still challenging, since state-of-the-art tomographic methods require the measurement of many orthogonal, distinguishable modes. Here, we propose …

Entanglement Suppression, Quantum Statistics and Symmetries in Spin-3/2 Baryon Scatterings
Tao-Ran Hu, Katsuyoshi Sone, Feng-Kun Guo, Testuo Hyodo, Ian Low
https://arxiv.org/abs/2506.08960

Entanglement Suppression, Quantum Statistics and Symmetries in Spin-3/2 Baryon Scatterings
We explore the interplay among entanglement suppression, quantum statistics and enhanced symmetries in the non-relativistic $S$-wave scattering involving the lowest-lying spin-3/2 baryons, which can be considered as four-dimensional qudits. These baryons form a ten-dimensional representation (decuplet) under the $\text{SU}(3)$ light-flavor symmetry and, in this limit, are considered indistinguishable under strong interactions. Treating the $S$-matrix in the spin-3/2 baryon-baryon scattering as …

Limiting the Shrinkage for the Exceptional by Objective Robust Bayesian Analysis: the `Clemente Problem'
Luis R. Pericchi, Maria-Eglee Perez
https://arxiv.org/abs/2506.10114

Limiting the Shrinkage for the Exceptional by Objective Robust Bayesian Analysis: the `Clemente Problem'
In `borrowing strength' an important problem of Statistics is to treat exceptional cases in a fundamentally different. This is what has been coined as `the Clemente problem' in honor of R. Clemente (Efron 2010). In this article, we propose to use robust penalties, in the form of losses that penalize more severely huge errors, or (equivalently) priors of heavy tails which make more probable the exceptional. Using heavy tailed priors, we can reproduce in a Bayesian way Efron and Morris `limited t…

Overview of statistical concepts in datascience: could be usefull in case you need some preformulated text to share with stakeholders... https://towardsdatascience.com/ultimate-guide-to-statistics-for-data-science-a3d8f1fd69a7

Deformation of ellipsoidal droplets in homogeneous and isotropic turbulence
Fabio Guglietta, Diego Taglienti, Mauro Sbragaglia
https://arxiv.org/abs/2506.09692

Deformation of ellipsoidal droplets in homogeneous and isotropic turbulence
We study the statistics of deformation of neutrally buoyant droplets in homogeneous isotropic turbulence (HIT), wherein the characteristic droplet size $R$ is smaller than the characteristic Kolmogorov scale $η$ of the turbulent flow. We systematically focus on the characterization of droplet statistics obtained with various phenomenological ellipsoidal models (EMs) -- assuming that the droplet preserves the ellipsoidal shape at all times - with the droplet moving as a passive tracer in the tu…

Probing anyon statistics on a single-edge loop in the fractional quantum Hall regime
Flavio Ronetti, No\'e Demazure, J\'er\^ome Rech, Thibaut Jonckheere, Beno\^it Gr\'emaud, Laurent Raymond, Masayuki Hashisaka, Takeo Kato, Thierry Martin
https://arxiv.org/abs/2506.09774

Probing anyon statistics on a single-edge loop in the fractional quantum Hall regime
We propose a setup to directly measure the anyonic statistical angle on a single edge of a fractional quantum Hall system, without requiring independent knowledge of non-universal parameters. We consider a Laughlin edge state bent into a closed loop geometry, where tunneling processes are controllably induced between the endpoints of the loop. To illustrate the underlying physical mechanism, we compute the time-dependent current generated by the injection of multiple anyons, and show that its b…

Transition Path Theory For L\'{e}vy-Type Processes: SDE Representation and Statistics
Yuanfei Huang, Xiang Zhou
https://arxiv.org/abs/2506.09462 https:…

Transition Path Theory For Lévy-Type Processes: SDE Representation and Statistics
This paper establishes a Transition Path Theory (TPT) for Lévy-type processes, addressing a critical gap in the study of the transition mechanism between meta-stabile states in non-Gaussian stochastic systems. A key contribution is the rigorous derivation of the stochastic differential equation (SDE) representation for transition path processes, which share the same distributional properties as transition trajectories, along with a proof of its well-posedness. This result provides a solid theo…

un_migrations: UN migration stock (2015)
A network of migration between countries, collected by the United Nations. A directed edge gives the flow of migration, and an edge property gives the number of migrants, for each given year and sex. Estimates are presented for 1990, 1995, 2000, 2005, 2010 and 2015 and are available for all countries and areas of the world. The estimates are based on official statistics on the foreign-born or the foreign population.
This network has 232 no…

On Sketching Trimmed Statistics
Honghao Lin, Hoai-An Nguyen, David P. Woodruff
https://arxiv.org/abs/2506.07342 https://arxiv.org/pdf…

On Sketching Trimmed Statistics
We present space-efficient linear sketches for estimating trimmed statistics of an $n$-dimensional frequency vector $x$, e.g., the sum of $p$-th powers of the largest $k$ frequencies (i.e., entries) in absolute value, or the $k$-trimmed vector, which excludes the top and bottom $k$ frequencies. This is called the $F_p$ moment of the trimmed vector. Trimmed measures are used in robust estimation, as seen in the R programming language's `trim.var' function and the `trim' parameter in the mean fun…

Back from a #cycling loop around the #ammersee !
Unfortunately I forgot to turn on my cycling computer for the first half hour 🥴 Yeah well, the red frame around the statistics page was quite clear but .. well.
Anyways! It was a nice ~50km loop with excellent weather (prepared with a lo…

[2025-05-14 Wed (UTC), no new articles found for stat.OT Other Statistics]
#toXiv_bot_toot

Inter-event time statistics of earthquakes as a gauge of volcano activity
Sumanta Kundu, Anca Opris, Yosuke Aoki, Takahiro Hatano
https://arxiv.org/abs/2506.09203

Inter-event time statistics of earthquakes as a gauge of volcano activity
The probability distribution of inter-event time (IET) between two consecutive earthquakes is a measure for the uncertainty in the occurrence time of earthquakes in a region of interest. It is well known that the IET distribution for regular earthquakes is commonly characterized by a power law with the exponent of 0.3. However, less is known about other classes of earthquakes, such as volcanic earthquakes, which do not manifest mainshock-aftershocks sequences. Since volcanic earthquakes are cau…

[2025-06-13 Fri (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
toXiv_bot_toot

On string tension and initial temperature from transverse momentum spectra of heavy quarkonia in proton-proton collisions at the LHC
Peng-Cheng Zhang, Hailong Zhu, Fu-Hu Liu, Khusniddin K. Olimov
https://arxiv.org/abs/2506.10702

On string tension and initial temperature from transverse momentum spectra of heavy quarkonia in proton-proton collisions at the LHC
The string tension ($κ$) in the Schwinger mechanism and the effective temperature ($T$) in Bose-Einstein statistics are extracted from the transverse momentum ($p_T$) spectra of heavy quarkonia produced in proton-proton (p+p) collisions at the Large Hadron Collider (LHC). Here, $T$ derived from the heavy quarkonium $p_T$ spectra also represents the initial temperature of the collision system, as transverse flow has not yet formed when heavy quarkonia are produced. The related parameters ($κ$ …

QuGrav: Bringing gravitational waves to light with Qumodes
Dmitri E. Kharzeev, Azadeh Maleknejad, Saba Shalamberidze
https://arxiv.org/abs/2506.09459 https…

QuGrav: Bringing gravitational waves to light with Qumodes
We propose using qumodes, quantum bosonic modes, for detecting high-frequency gravitational waves via the inverse Gertsenshtein effect, where a gravitational wave resonantly converts into a single photon in a magnetized cavity. For an occupation number $n$ of the photon field in a qumode, the conversion probability is enhanced by a factor of $n+1$ due to Bose-Einstein statistics. Unlocking this increased sensitivity entails the ability to continuously prepare the qumode and perform non-demoliti…

[2025-06-13 Fri (UTC), 4 new articles found for math.ST Statistics Theory]
toXiv_bot_toot

Ideals generated by corner-interval minors
Marie Amalore Nambi
https://arxiv.org/abs/2506.09618 https://arxiv.org/pdf/2506.09618

Ideals generated by corner-interval minors
In this article, we study binomial ideals generated by an arbitrary collection of corner-interval $2$-minors of a generic matrix. We determine the minimal prime ideals of such ideals and characterize their radicality in the special case of corner minors. Moreover, we discuss connectivity properties of contingency tables in algebraic statistics. We compute the Hilbert-Poincaré polynomial of the ideal generated by the set of all corner-interval minors and we derive the formula for the regularity…

Acceleration of Lagrangian Particles in Shell Models of Turbulence
Lorenzo Piro, Massimo Cencini, Roberto Benzi
https://arxiv.org/abs/2506.09633 https://…

Acceleration of Lagrangian Particles in Shell Models of Turbulence
Lagrangian acceleration has been investigated both experimentally and numerically in the past, and it has been shown to exhibit extreme fluctuations, which have been rationalized as events in which tracer particles get trapped into vortical structures such as vortex tubes or filaments. Here, we consider the statistics of acceleration within the multifractal framework, as in Biferale et al. Phys. Rev. Lett. 93 064502 (2004), and investigate the statistics of Lagrangian acceleration using shell m…

How much is too much? Measuring divergence from Benford's Law with the Equivalent Contamination Proportion (ECP)
Manuel Cano-Rodriguez
https://arxiv.org/abs/2506.09915

How much is too much? Measuring divergence from Benford's Law with the Equivalent Contamination Proportion (ECP)
Conformity with Benford's Law is widely used to detect irregularities in numerical datasets, particularly in accounting, finance, and economics. However, the statistical tools commonly used for this purpose (such as Chi-squared, MAD, or KS) suffer from three key limitations: sensitivity to sample size, lack of interpretability of their scale, and the absence of a common metric that allows for comparison across different statistics. This paper introduces the Equivalent Contamination Proportion (…

Composite Optimization with Indicator Functions: Stationary Duality and a Semismooth Newton Method
Penghe Zhang, Naihua Xiu, Houduo Qi
https://arxiv.org/abs/2506.08374

Composite Optimization with Indicator Functions: Stationary Duality and a Semismooth Newton Method
Indicator functions of taking values of zero or one are essential to numerous applications in machine learning and statistics. The corresponding primal optimization model has been researched in several recent works. However, its dual problem is a more challenging topic that has not been well addressed. One possible reason is that the Fenchel conjugate of any indicator function is finite only at the origin. This work aims to explore the dual optimization for the sum of a strongly convex function…

[2025-05-13 Tue (UTC), no new articles found for stat.OT Other Statistics]
#toXiv_bot_toot

This https://arxiv.org/abs/2412.19295 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Random matrix statistics and zeroes of $L$-functions via probability in $λ$-rings
We introduce a theory of probability in $λ$-rings designed to efficiently describe random variables valued in multisets of complex numbers, varieties over a field, or other similar enriched settings. A key role is played by the $σ$-moment generating function based on the plethystic exponential, which allows us to describe distributions and argue with independence in a way that is as simple as classical probability theory. As a first application, we use this theory to obtain a concise descript…

Some statistics about all robotic #LunarLanding attempts so far from 1965 to 2025 compiled from https://en.wikipedia.org/wiki/List_of_missions_to_the_Moon and https://scicomm.xyz/@AkaSci@fosstodon.org/114636519291241321 in which I only count those for which descent to the surface had been initiated, not missions lost at launch or on the way - in a nutshell ~70% of all landings by government agencies went well (essentially the same rate 60 years ago and now!) but only ~30% by private companies. Here goes ...
There have been two separate periods of soft lunar landing attempts of ca. a dozen years each, from 1965 to 1976 and 2013 to 2025 (ongoing) with a huge gap between them.
In the first interval there were 20 attempts with 13 successes (Luna 9, 13, 16, 17, 19, 20, 21 and 24 and Surveyor 1, 3, 5, 6 and 7), one partial success (Luna 23, counting as 50%) and 6 failures (Luna 5, 7, 8, 15 and 18 and Surveyor 4), so the success rate was 13.5/20 = 68 %. All missions were by - the Soviet and U.S. - governments.
In the second interval there were so far 14 attempts with 6 full successes (Chang'e-3, 4, 5 and 6, Vikram 2 and Blue Ghost), three partial successes (SLIM, IM-1 and 2, counting as 75%, 50% and 25%, respectively) and 5 failures (Beresheet, Vikram 1, Hakuto-R 1 and 2 and Luna 25) so the success rate was 7.5 / 14 = 54%.
But looking only at the government missions it was 72%, slighly up from 50 years ago. While for the commercial attempts it was only 29%. In total the success rate was 19 (18 government-run) missions out of 34 (28) attempts or 62% but 69% for governments only. And if you throw in the 6 Apollo landings, the total success rate rises to 68% and the government-only rate goes even up to 75%.

The COVID-19 Inflation Weighting in Israel
Jonathan Benchimol, Itamar Caspi, Yuval Levin
https://arxiv.org/abs/2506.09875 https://arx…

The COVID-19 Inflation Weighting in Israel
Significant shifts in the composition of consumer spending as a result of the COVID-19 crisis can complicate the interpretation of official inflation data, which are calculated by the Central Bureau of Statistics (CBS) based on a fixed basket of goods. We focus on Israel as a country that experienced three lockdowns, additional restrictions that significantly changed consumer behavior, and a successful vaccination campaign that has led to the lifting of most of these restrictions. We use credit…

This https://arxiv.org/abs/2505.12612 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

EPSpatial: Achieving Efficient and Private Statistical Analytics of Geospatial Data
Geospatial data statistics involve the aggregation and analysis of location data to derive the distribution of clients within geospatial. The need for privacy protection in geospatial data analysis has become paramount due to concerns over the misuse or unauthorized access of client location information. However, existing private geospatial data statistics mainly rely on privacy computing techniques such as cryptographic tools and differential privacy, which leads to significant overhead and in…

Unified reconstruction of the Lyman-alpha power spectrum with Hamiltonian Monte Carlo
N. G. Kara\c{c}ayl{\i}, P. L. Taylor
https://arxiv.org/abs/2506.08198

Unified reconstruction of the Lyman-alpha power spectrum with Hamiltonian Monte Carlo
The complex geometry of the Ly$α$ forest data has motivated the use of various two-point statistics as alternatives to the three-dimensional power spectrum ($P_{\mathrm{3D}}$), which carries cosmological information in Fourier space. On large scales, the three-dimensional correlation function ($ξ_\mathrm{3D}$) has provided robust measurements of the baryon acoustic oscillation (BAO) scale at 150 Mpc. On smaller scales, the one-dimensional power spectrum, $P_{\mathrm{1D}}(k_\|)$, has been…

TRUST: Test-time Resource Utilization for Superior Trustworthiness
Haripriya Harikumar, Santu Rana
https://arxiv.org/abs/2506.06048 https://

TRUST: Test-time Resource Utilization for Superior Trustworthiness
Standard uncertainty estimation techniques, such as dropout, often struggle to clearly distinguish reliable predictions from unreliable ones. We attribute this limitation to noisy classifier weights, which, while not impairing overall class-level predictions, render finer-level statistics less informative. To address this, we propose a novel test-time optimization method that accounts for the impact of such noise to produce more reliable confidence estimates. This score defines a monotonic subs…

This https://arxiv.org/abs/2502.02648 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Spectral form factor and energy correlations in banded random matrices
Banded random matrices were introduced as a more realistic alternative to full random matrices for describing the spectral statistics of heavy nuclei. Initially considered by Wigner, they have since become a paradigmatic model for investigating level statistics and the localization-delocalization transition in disordered quantum systems. In this work, we demonstrate that, despite the absence of short-range energy correlations, weak long-range energy correlations persist in the nonergodic phase …

@… Indeed, and before everything pivoted to statistics, it looked like it could be equal parts linguistics and engineering. But with the rise of statistics and “language independent” methods, any interest in language rapidly disappeared.

@… Indeed, and before everything pivoted to statistics, it looked like it could be equal parts linguistics and engineering. But with the rise of statistics and “language independent” methods, any interest in language rapidly disappeared.

The impact of applying black hole-host galaxy scaling relations to large galaxy populations
Maggie C. Huber (University of Colorado Boulder), Joseph Simon (University of Colorado Boulder), Julia M. Comerford (University of Colorado Boulder)
https://arxiv.org/abs/2506.08102

The impact of applying black hole-host galaxy scaling relations to large galaxy populations
Supermassive black holes (SMBHs) with dynamically measured masses have shown empirical correlations with host galaxy properties. These correlations are often the only method available to estimate SMBH masses and gather statistics for large galaxy populations across a range of redshifts, even though the scaling relations themselves are derived from a small subset of nearby galaxies. Depending on the scaling relation used, estimated SMBH masses can vary significantly. The most widely used scaling…

Some economists are beginning to question the accuracy of recent U.S. inflation data
after the federal government said staffing shortages hampered its ability to conduct a massive monthly survey.
The Bureau of Labor Statistics, the office that publishes the inflation rate,
told outside economists this week that a hiring freeze at the agency was forcing the survey to cut back on the number of businesses where it checks prices.
In last month’s inflation report, which exa…

A Statistics-Driven Differentiable Approach for Sound Texture Synthesis and Analysis
Esteban Guti\'errez, Frederic Font, Xavier Serra, Lonce Wyse
https://arxiv.org/abs/2506.04073

A Statistics-Driven Differentiable Approach for Sound Texture Synthesis and Analysis
In this work, we introduce TexStat, a novel loss function specifically designed for the analysis and synthesis of texture sounds characterized by stochastic structure and perceptual stationarity. Drawing inspiration from the statistical and perceptual framework of McDermott and Simoncelli, TexStat identifies similarities between signals belonging to the same texture category without relying on temporal structure. We also propose using TexStat as a validation metric alongside Frechet Audio Dista…

Effects of vibration and rigidity modes of motion on the spectral statistics of spherical nuclei
H. Sabri, A. Hosseinnezhad
https://arxiv.org/abs/2506.06747

Effects of vibration and rigidity modes of motion on the spectral statistics of spherical nuclei
In this paper, we investigated the effects of \b{eta}-vibration and \b{eta}-rigidity on the energy levels from the viewpoint of statistical fluctuations of nuclear systems. To this aim, a parameter-free collective solution of the Bohr Hamiltonian in the five-dimensional harmonic oscillator potential with a linear energy dependence and an asymptotic limit of the slope are used to determine all of the observed normal states in even-even nuclei with ~ 2.00 - 2.15 ratio in the A ~ 90 -140 mass regi…

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new/
[1/1]:
Under-coverage in high-statistics counting experiments with finite MC samples

Statistics of Non-Rayleigh Speckles Generated from Nonlinear Media
Deependra Singh Gaur, Akanksha Gautam, Rakesh Kumar Singh, Akhilesh Kumar Mishra
https://arxiv.org/abs/2506.04816

Statistics of Non-Rayleigh Speckles Generated from Nonlinear Media
We analytically derive an expression for a speckle field's intensity probability density function (PDF) in a nonlinear medium. The analytically driven results are in good agreement with the numerical outcomes. In a focusing nonlinear medium, the local intensity of the speckle is enhanced as manifested through the longer tail of the PDF. In contrast, the local intensity of speckle is reduced in the presence of a defocusing nonlinearity, and the tail of the probability density function also reduc…

[2025-06-13 Fri (UTC), no new articles found for stat.OT Other Statistics]
toXiv_bot_toot

Sufficient digits and density estimation: A Bayesian nonparametric approach using generalized finite P\'olya trees
Mario Beraha, Jesper M{\o}ller
https://arxiv.org/abs/2506.09437

Sufficient digits and density estimation: A Bayesian nonparametric approach using generalized finite Pólya trees
This paper proposes a novel approach for statistical modelling of a continuous random variable $X$ on $[0, 1)$, based on its digit representation $X=.X_1X_2\ldots$. In general, $X$ can be coupled with a random variable $N$ so that if a prior of $N$ is imposed, $(X_1,\ldots,X_N)$ becomes a sufficient statistics and $.X_{N+1}X_{N+2}\ldots$ is uniformly distributed. In line with this fact, and focusing on binary digits for simplicity, we propose a family of generalized finite P{ó}lya trees that i…

This https://arxiv.org/abs/2505.21688 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCE_…

Modeling extreme events and intermittency in turbulent diffusion with a mean gradient
We study the statistical properties of passive tracer transport in turbulent flows with a mean gradient, emphasizing tracer intermittency and extreme events. An analytically tractable model is developed, coupling zonal and shear velocity components with both linear and nonlinear stochastic dynamics. Formulating the model in Fourier space, a simple explicit solution for the tracer invariant statistics is derived. Through this model we identify the resonance condition responsible for non-Gaussian…

This https://arxiv.org/abs/2412.16041 has been replaced.
initial toot: https://mastoxiv.page/@…

Integrability versus chaos in the steady state of many-body open quantum systems
The Lindblad description of an open quantum system gives rise to two types of integrability, since the nonequilibrium steady state can be integrable independently of the Liouvillian. Taking boundary-driven and dephasing spin chains as a representative example, we discriminate Liouvillian and steady-state chaos by combining level spacing statistics and an extension of the eigenstate thermalization hypothesis to open quantum systems. Moreover, we analyze the structure of the steady states by expa…

On Level Crossings and Fade Durations in von Mises-Fisher Scattering Channels
Kenan Turbic, Slawomir Stanczak
https://arxiv.org/abs/2506.05898 https://

On Level Crossings and Fade Durations in von Mises-Fisher Scattering Channels
This paper investigates the second-order statistics of multipath fading channels with von Mises-Fisher (vMF) distributed scatters. Simple closed-form expressions for the mean Doppler shift and Doppler spread are derived as the key spectral moments that capture the impact of mobility and scattering characteristics on level crossings and fade durations. These expressions are then used to analyze the influence of vMF parameters on the Level-Crossing Rate (LCR) The results show that isotropic scatt…

On the completeness of the $\delta_{KLS}$-generalized statistical field theory
P. R. S. Carvalho
https://arxiv.org/abs/2506.05537 https://

On the completeness of the $δ_{KLS}$-generalized statistical field theory
In this work we introduce a field-theoretic tool that enable us to evaluate the critical exponents of $δ_{KLS}$-generalized systems undergoing continuous phase transitions, namely $δ_{KLS}$-generalized statistical field theory. It generalizes the standard Boltzmann-Gibbs through the introduction of the $δ_{KLS}$ parameter from which Boltzmann-Gibbs statistics is recovered in the limit $δ_{KLS}\rightarrow 0$. From the results for the critical exponents we provide the referred physical interp…

This https://arxiv.org/abs/2412.10053 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

De-Biasing Structure Function Estimates From Sparse Time Series of the Solar Wind: A Data-Driven Approach
Structure functions, which represent the moments of the increments of a stochastic process, are essential complementary statistics to power spectra for analysing the self-similar behaviour of a time series. However, many real-world environmental datasets, such as those collected by spacecraft monitoring the solar wind, contain gaps, which inevitably corrupt the statistics. The nature of this corruption for structure functions remains poorly understood - indeed, often overlooked. Here we simulat…

ESWC 2025 has just started with the presentation of the submission numbers to the individual tracks:
research track: 98 papers
resource track: 36 papers
in-use track: 22 papers
Looking forward to great presentations and discussions!
#eswc2025 #semweb

Dissenter Headlines For June 9, 2025 https://thedissenter.org/dissenter-headlines-for-june-9-2025/

RSMA-Enabled Covert Communications Against Multiple Spatially Random Wardens
Xinyue Pei, Jihao Liu, Xuewen Luo, Xingwei Wang, Yingyang Chen, Miaowen Wen, Theodoros A. Tsiftsis
https://arxiv.org/abs/2506.05919

RSMA-Enabled Covert Communications Against Multiple Spatially Random Wardens
This work investigates covert communication in a rate-splitting multiple access (RSMA)-based multi-user multiple-input single-output system, where the random locations of the wardens follow a homogeneous Poisson point process. To demonstrate practical deployment scenarios, imperfect channel state information at the transmitter is considered. Closed-form expressions for the statistics of the received signal-to-interference-plus-noise ratio, along with the analytical formulations for the covertne…

Experimental Test of the Principle of Tomographic Locality
Tristan S. Lismer, Kaleb B. Felefele, Robert W. Spekkens, Kevin J. Resch
https://arxiv.org/abs/2506.07775

Experimental Test of the Principle of Tomographic Locality
The principle of tomographic locality states that the operational state of a multipartite system can be fully characterized by the statistics obtained from measurements that are local to the individual subsystems. This property holds in quantum theory and features prominently in axiomatic reconstructions of the theory, where it serves to rule out a wide class of alternatives. For instance, quantum theory with Hilbert spaces defined over the real field (rather than the complex field) is an examp…

i would love to see the statistics and the shitlist of J Lenaers:
https://www.politico.eu/article/european-peoples-party-whip-manfred-weber-jeroen-lenaers/

This https://arxiv.org/abs/2402.01593 has been replaced.
link: https://scholar.google.com/scholar?q=a

Statistical Accuracy of Approximate Filtering Methods
Estimating the statistics of the state of a dynamical system, from partial and noisy observations, is both mathematically challenging and finds wide application. Furthermore, the applications are of great societal importance, including problems such as probabilistic weather forecasting and prediction of epidemics. Particle filters provide a well-founded approach to the problem, leading to provably accurate approximations of the statistics. However these methods perform poorly in high dimensions…

[2025-06-12 Thu (UTC), 4 new articles found for math.ST Statistics Theory]
toXiv_bot_toot

This https://arxiv.org/abs/2504.09567 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Conditional Independence Test Based on Transport Maps
Testing conditional independence between two random vectors given a third is a fundamental and challenging problem in statistics, particularly in multivariate nonparametric settings due to the complexity of conditional structures. We propose a innovative framework for testing conditional independence using transport maps. At the population level, we show that two well-defined transport maps can transform the conditional independence test into an unconditional independence test, this substantial…

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing
Jin Li, Man-Wai Mak, Johan Rohdin, Kong Aik Lee, Hynek Hermansky
https://arxiv.org/abs/2506.07536

Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing
The performance of automatic speaker verification (ASV) and anti-spoofing drops seriously under real-world domain mismatch conditions. The relaxed instance frequency-wise normalization (RFN), which normalizes the frequency components based on the feature statistics along the time and channel axes, is a promising approach to reducing the domain dependence in the feature maps of a speaker embedding network. We advocate that the different frequencies should receive different weights and that the w…

Kaon Gluon Parton Distribution and Momentum Fraction from 2 1 1 Lattice-QCD with High Statistics
Alex NieMiera, William Good, Huey-Wen Lin
https://arxiv.org/abs/2506.03002

Kaon Gluon Parton Distribution and Momentum Fraction from 2+1+1 Lattice-QCD with High Statistics
We present a high-statistics lattice-QCD determination of the kaon gluon parton distribution function and gluon momentum fraction. We use clover valence fermion action to take 1,296,640 kaon-correlator measurements on a HISQ ensemble with $a \approx 0.12$~fm and 310-MeV pion mass, generated by the MILC collaboration. A detailed investigation into the impact of gauge-link smearing on the gluonic matrix elements indicates that five steps of hypercubic smearing offer an effective balance between s…

This https://arxiv.org/abs/2409.16613 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Oral exams in introductory statistics class with non-native English speakers
Oral exams are a powerful tool to assess student's learning. This is particularly important in introductory statistics classes where students struggle to grasp various topics like the interpretation of probability, $p$-values and more. The challenge of acquiring conceptual understanding is only heightened when students are learning in a second language. In this paper, I share my experience administering oral exams to an introductory statistics class of non-native English speakers at a Japanese …

R learning for applied statistics by Chenxin Li: #rstats

This https://arxiv.org/abs/2212.07917 has been replaced.
link: https://scholar.google.com/scholar?q=a

An Analysis of Variance of the Pantheon+ Dataset: Systematics in the Covariance Matrix?
We investigate the statistics of the available Pantheon+ dataset. Noticing that the $χ^2$ value for the best-fit $Λ$CDM model to the real data is small, we quantify how significant its smallness is by calculating the distribution of $χ^2$ values for the best-fit $Λ$CDM model fit to mock Pantheon+-like datasets, using the provided covariance matrix. We further investigate the distribution of the residuals of the Pantheon+ dataset with respect to the best-fit $Λ$CDM model, and notice that th…

This https://arxiv.org/abs/2304.05844 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Fixed-point statistics from spectral measures on tensor envelope categories
We prove some old and new convergence statements for fixed-points statistics using tensor envelope categories, such as the Deligne--Knop category of representations of the "symmetric group" $S_t$ for an indeterminate~$t$. We also discuss some arithmetic speculations related to Chebotarev's density theorem.

An IPCW Adjusted Win Statistics Approach in Clinical Trials Incorporating Equivalence Margins to Define Ties
Ying Cui, Bo Huang, Gaohong Dong, Ryuji Uozumi, Lu Tian
https://arxiv.org/abs/2506.03050

An IPCW Adjusted Win Statistics Approach in Clinical Trials Incorporating Equivalence Margins to Define Ties
In clinical trials, multiple outcomes of different priorities commonly occur as the patient's response may not be adequately characterized by a single outcome. Win statistics are appealing summary measures for between-group difference at more than one endpoint. When defining the result of pairwise comparisons of a time-to-event endpoint, it is desirable to allow ties to account for incomplete follow-up and not clinically meaningful difference in endpoints of interest. In this paper, we propose …

Generalized measurements for Bell tests in different probability spaces
Alfredo Luis
https://arxiv.org/abs/2506.07496 https://arxiv.o…

Generalized measurements for Bell tests in different probability spaces
Bell tests are of profound statistical nature. Besides physical considerations, the proper understanding of their implications should involve detailed statistical analyses. In this regard, recent works have shown that their consequences and interpretations depend on the probability space adopted. Some other recent works have also shown that generalized measurements may allow to further exploit the statistics of Bell-like tests. Following these ideas, in this work we show that one and the same e…

Counting the number of $\mathbb{Z}_{p}$-and $\mathbb{F}_{p}[t]$-fixed points of a discrete dynamical system with applications from arithmetic statistics, III
Brian Kintu
https://arxiv.org/abs/2505.24565

Counting the number of $\mathbb{Z}_{p}$-and $\mathbb{F}_{p}[t]$-fixed points of a discrete dynamical system with applications from arithmetic statistics, III
In this follow-up paper, we again inspect a surprising relationship between the set of fixed points of a polynomial map $φ_{d, c}$ defined by $φ_{d, c}(z) = z^d + c$ for all $c, z \in \mathcal{O}_{K}$ or $c, z \in \mathbb{Z}_{p}$ or $c, z \in \mathbb{F}_{p}[t]$ and the coefficient $c$, where $K$ is any number field (not necessarily real) of degree $n > 1$, $p>2$ is any prime integer, and $d>2$ is an integer. As in \cite{BK1,BK2} we again wish to study here counting problems that are inspired …

Valuing Diffuse Global Public Goods from Satellite Constellations: Evidence from GPS and Airline Delays
Lev Ricanati
https://arxiv.org/abs/2506.08209 https…

Valuing Diffuse Global Public Goods from Satellite Constellations: Evidence from GPS and Airline Delays
This paper studies the welfare impact of discrete improvements to global public goods in the context of the Global Positioning System (GPS). Specifically, I find that by disabling Selective Availability in May, 2000, and thus significantly increasing the accuracy of GPS, the United States generated at least \$268 million (2000 dollars) of additional welfare gains. To quantify this welfare impact, I apply a difference-in-differences model to the Bureau of Transportation Statistics's Airline On-T…

[2025-06-12 Thu (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
toXiv_bot_toot

This https://arxiv.org/abs/2503.01678 has been replaced.
initial toot: https://mastoxiv.page/@a…

Exchange-phase erasure in anyonic Hong-Ou-Mandel interferometry
Two-particle interferometry is an important tool for extracting the exchange statistics of quantum particles. We theoretically investigate the prospects of such interferometry to probe the statistics of point-like anyonic excitations injected in a Hong-Ou-Mandel (HOM) setup based on a quantum point contact device in the fractional quantum Hall regime. We compute the standard HOM ratio, i.e., the ratio of tunneling noises for two- and one-particle injections, and find that for point-like anyons,…

Statistical Guarantees in Data-Driven Nonlinear Control: Conformal Robustness for Stability and Safety
Ting-Wei Hsu, Hiroyasu Tsukamoto
https://arxiv.org/abs/2506.06228

Statistical Guarantees in Data-Driven Nonlinear Control: Conformal Robustness for Stability and Safety
We present a true-dynamics-agnostic, statistically rigorous framework for establishing exponential stability and safety guarantees of closed-loop, data-driven nonlinear control. Central to our approach is the novel concept of conformal robustness, which robustifies the Lyapunov and zeroing barrier certificates of data-driven dynamical systems against model prediction uncertainties using conformal prediction. It quantifies these uncertainties by leveraging rank statistics of prediction scores ov…

Ordering Results between Two Extreme Order Statistics with Heterogeneous Linear Failure Rate Distributed Components
CM Revathi, Rajesh Moharana, Raju Bhakta
https://arxiv.org/abs/2506.05773

Ordering Results between Two Extreme Order Statistics with Heterogeneous Linear Failure Rate Distributed Components
Stochastic comparisons of series and parallel systems are important in many areas of engineering, operations research and reliability analysis. These comparisons allow for the evaluation of the performance and reliability of systems under different conditions, and can inform decisions related to system design, probabilities of failure, maintenance and operation. In this paper, we investigate the stochastic comparisons of the series and parallel systems under the assumption that the component li…

This https://arxiv.org/abs/2401.00492 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Edge statistics for random band matrices
We consider Hermitian and symmetric random band matrices on the $d$-dimensional lattice $(\mathbb{Z}/L\mathbb{Z})^d$ with bandwidth $W$, focusing on local eigenvalue statistics at the spectral edge in the limit $W\to\infty$. Our analysis reveals a critical dimension $d_c=6$ and identifies the critical bandwidth scaling as $W_c=L^{(1-d/6)_+}$. In the Hermitian case, we establish the Anderson transition for all dimensions $d<4$, and GUE edge universality when $d\geq 4$ under the condition $W\geq …

Exoplaneteers Keep Overestimating Sigma Significances
David Kipping, Bj\"orn Benneke
https://arxiv.org/abs/2506.05392 https://ar…

Exoplaneteers Keep Overestimating Sigma Significances
Astronomers, and in particular exoplaneteers, have a curious habit of expressing Bayes factors as frequentist sigma values. This is of course completely unnecessary and arguably rather ill-advised. Regardless, the practice is common - especially in the detection claims of chemical species within exoplanet atmospheres. The current canonical conversion strategy stems from a statistics paper from Sellke et al. (2001), who derived an upper bound on the Bayes factor between the test and null hypothe…

Enhanced interferometric resolution via N-fold intensity-product measurements without sacrificing phase sensitivity
S. Kim, J. Stohr, B. S. Ham
https://arxiv.org/abs/2506.06061

Enhanced interferometric resolution via N-fold intensity-product measurements without sacrificing phase sensitivity
The Fisher information theory sets a fundamental bound on the minimum measurement error achievable from independent and identically distributed (i.i.d.) measurement events. The assumption of identical and independent distribution often implies a Gaussian distribution, as seen in classical scenarios like coin tossing and an optical system exhibiting Poisson statistics. In an interferometric optical sensing platform, this translates to a fundamental limit in phase sensitivity, known as the shot-n…

This https://arxiv.org/abs/2503.09714 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Full-Shape analysis of the power spectrum and bispectrum of DESI DR1 LRG and QSO samples
We present the first joint analysis of the power spectrum and bispectrum using the Data Release 1 (DR1) of the Dark Energy Spectroscopic Instrument (DESI), focusing on Luminous Red Galaxies (LRGs) and quasars (QSOs) across a redshift range of $0.4\leq z\leq2.1$. By combining the two- and three-point statistics, we are able to partially break the degeneracy between the logarithmic growth rate, $f(z)$, and the amplitude of dark matter fluctuations, $σ_\textrm{s8}(z)$, which cannot be measured se…

[2025-05-12 Mon (UTC), no new articles found for stat.OT Other Statistics]
#toXiv_bot_toot

Evolution of Rayleigh-Taylor turbulence under vorticity and strain-rate control
Dongxiao Zhao, Gaojin Li
https://arxiv.org/abs/2506.07012 https://

Evolution of Rayleigh-Taylor turbulence under vorticity and strain-rate control
We investigate the role of small-scale structures in turbulent Rayleigh-Taylor (RT) flows through the application of preferential flow control targeting high vorticity or high strain-rate regions (Buzzicotti et al. 2020). Through numerical simulations, we analyze the effects of flow control on RT statistics, mixing, and anisotropy behavior. Our results reveal that eliminating intense small-scale motion leads to the formation of more organized and coherent flow structures, with reduced mixing an…

This https://arxiv.org/abs/2411.07651 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Quasi-Bayes empirical Bayes: a sequential approach to the Poisson compound decision problem
The Poisson compound decision problem is a long-standing problem in statistics, where empirical Bayes methodologies are commonly used to estimate Poisson's means in static or batch domains. In this paper, we study the Poisson compound decision problem in a streaming or online domain. Adopting a quasi-Bayesian approach, referred to as Newton's algorithm, we obtain a sequential estimate that is easy to evaluate, computationally efficient, and maintain a constant per-observation computational cost…

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique
Stephan Sturm
https://arxiv.org/abs/2506.01815

Path Signatures for Feature Extraction. An Introduction to the Mathematics Underpinning an Efficient Machine Learning Technique
We provide an introduction to the topic of path signatures as means of feature extraction for machine learning from data streams. The article stresses the mathematical theory underlying the signature methodology, highlighting the conceptual character without plunging into the technical details of rigorous proofs. These notes are based on an introductory presentation given to students of the Research Experience for Undergraduates in Industrial Mathematics and Statistics at Worcester Polytechnic …

[2025-06-12 Thu (UTC), no new articles found for stat.OT Other Statistics]
toXiv_bot_toot

[2025-06-11 Wed (UTC), 7 new articles found for math.ST Statistics Theory]
toXiv_bot_toot

Spin vs. position conjugation in quantum simulations with atoms: application to quantum chemistry
N. A. Moroz (Quantum Technology Centre, M.V. Lomonosov Moscow State University), K. S. Tikhonov (St. Petersburg State University and Russian Quantum Center, Russian Quantum Center), L. V. Gerasimov (Quantum Technology Centre, M.V. Lomonosov Moscow State University, Centre for Interdisciplinary Basic Research, HSE University), A. D. Manukhova (Department of Optics, Palacky University), I. B…

Spin vs. position conjugation in quantum simulations with atoms: application to quantum chemistry
The permutation symmetry is a fundamental attribute of the collective wavefunction of indistinguishable particles. It makes a difference for the behavior of collective systems having different quantum statistics but existing in the same environment. Here we show that for some specific quantum conjugation between the spin and spatial degrees of freedom the indistinguishable particles can behave similarly for either quantum statistics. In particular, a mesoscopically scaled collection of atomic q…

Heavy Lasso: sparse penalized regression under heavy-tailed noise via data-augmented soft-thresholding
The Tien Mai
https://arxiv.org/abs/2506.07790 https:…

Heavy Lasso: sparse penalized regression under heavy-tailed noise via data-augmented soft-thresholding
High-dimensional linear regression is a fundamental tool in modern statistics, particularly when the number of predictors exceeds the sample size. The classical Lasso, which relies on the squared loss, performs well under Gaussian noise assumptions but often deteriorates in the presence of heavy-tailed errors or outliers commonly encountered in real data applications such as genomics, finance, and signal processing. To address these challenges, we propose a novel robust regression method, terme…

[2025-06-11 Wed (UTC), 2 new articles found for physics.data-an Data Analysis, Statistics and Probability]
toXiv_bot_toot

This https://arxiv.org/abs/2404.07249 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

PolyBin3D: A Suite of Optimal and Efficient Power Spectrum and Bispectrum Estimators for Large-Scale Structure
By measuring, modeling and interpreting cosmological datasets, one can place strong constraints on models of the Universe. Central to this effort are summary statistics such as power spectra and bispectra, which condense the high-dimensional data into low-dimensional representations. In this work, we introduce a modern set of estimators for computing such statistics from three-dimensional clustering data, and provide a flexible Python/Cython implementation; PolyBin3D. Working in a maximum-likel…

When Tukey meets Chauvenet: a new boxplot criterion for outlier detection
Hongmei Lin, Riquan Zhang, Tiejun Tong
https://arxiv.org/abs/2506.06491 https://

When Tukey meets Chauvenet: a new boxplot criterion for outlier detection
The box-and-whisker plot, introduced by Tukey (1977), is one of the most popular graphical methods in descriptive statistics. On the other hand, however, Tukey's boxplot is free of sample size, yielding the so-called "one-size-fits-all" fences for outlier detection. Although improvements on the sample size adjusted boxplots do exist in the literature, most of them are either not easy to implement or lack justification. As another common rule for outlier detection, Chauvenet's criterion uses the…

Structure functions and flatness of streamwise velocity in a turbulent channel flow
Carlos Granero-Belinchon (ODYSSEY, IMT Atlantique - MEE, Lab-STICC\_OSE), St\'ephane G. Roux (Phys-ENS), Nicolas B. Garnier (Phys-ENS)
https://arxiv.org/abs/2506.05436

Structure functions and flatness of streamwise velocity in a turbulent channel flow
In this article, we present a multiscale characterization of the streamwise velocity of a turbulent channel flow. We study the 2nd and 4th order structure functions and the flatness for scales ranging from the dissipative to the integral domains and for a wide range of distances to the walls spanning four distinct regions of the channel. We characterize the impact of the shear stress induced by the walls on these statistics. Far from the walls, in the outer layer, the impact of the boundaries o…

At the edge of Donsker's Theorem: Asymptotics of multiscale scan statistics
Johann K\"ohne, Fabian Mies
https://arxiv.org/abs/2506.05112 https://

At the edge of Donsker's Theorem: Asymptotics of multiscale scan statistics
For nonparametric inference about a function, multiscale testing procedures resolve the need for bandwidth selection and achieve asymptotically optimal detection performance against a broad range of alternatives. However, critical values strongly depend on the noise distribution, and we argue that existing methods are either statistically infeasible, or asymptotically sub-optimal. To address this methodological challenge, we show how to develop a feasible multiscale test via weak convergence ar…

This https://arxiv.org/abs/2212.02658 has been replaced.
link: https://scholar.google.com/scholar?q=a

Pooling information in likelihood-free inference
Likelihood-free inference (LFI) methods, such as approximate Bayesian computation, have become commonplace for conducting inference in complex models. Many approaches are based on summary statistics or discrepancies derived from synthetic data. However, determining which summary statistics or discrepancies to use for constructing the posterior remains a challenging question, both practically and theoretically. Instead of relying on a single vector of summaries for inference, we propose a new po…

[2025-06-11 Wed (UTC), no new articles found for stat.OT Other Statistics]
toXiv_bot_toot

[2025-06-10 Tue (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
toXiv_bot_toot

Multi-sample rank tests for location against Lehmann-type alternatives
Nikolay I. Nikolov, Eugenia Stoimenova
https://arxiv.org/abs/2506.01914 https://

Multi-sample rank tests for location against Lehmann-type alternatives
This paper deals with testing the equality of $k$ ($k\ge 2$) distribution functions against possible stochastic ordering among them. Two classes of rank tests are proposed for this testing problem. The statistics of the tests under study are based on precedence and exceedance statistics and are natural extension of corresponding statistics for the two-sample testing problem. Furthermore, as an extension of the Lehmann alternative for the two-sample location problem, we propose a new subclass of…

This https://arxiv.org/abs/2411.10121 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Quadratic Form based Multiple Contrast Tests for Comparison of Group Means
Comparing the mean vectors across different groups is a cornerstone in the realm of multivariate statistics, with quadratic forms commonly serving as test statistics. However, when the overall hypothesis is rejected, identifying specific vector components or determining the groups among which differences exist requires additional investigations. Conversely, employing multiple contrast tests (MCT) allows conclusions about which components or groups contribute to these differences. However, they …

Statisticians Training STEM Educators in Statistics Methods and Pedagogy: A Case Study of Instructor Training in Bayesian Methods
Mine Dogucu, Jingchen Hu, Amy H Herring
https://arxiv.org/abs/2505.02298

Statisticians Training STEM Educators in Statistics Methods and Pedagogy: A Case Study of Instructor Training in Bayesian Methods
Educating the next generation of scientists in statistical methodology is an important task. Educating their instructors in statistical content knowledge and pedagogical knowledge is as important and provides an indirect impact of students' learning. Statisticians are in a place to lead train-the-trainer (TTT) programs in different methods. We present our instructor training program in Bayesian methods as an effective case study of a TTT model. In addition to describing the details of the struc…

[2025-06-09 Mon (UTC), 3 new articles found for math.ST Statistics Theory]
#toXiv_bot_toot #toXiv_bot_new_article_summary_toot

This https://arxiv.org/abs/2412.08151 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Improving cosmological constraints via galaxy intrinsic alignment in full-shape analysis
The intrinsic alignment (IA) of galaxy shapes probes the underlying gravitational tidal field, thus offering cosmological information complementary to galaxy clustering. In this paper, we perform a Fisher forecast to assess the benefit of IA in improving cosmological parameter constraints, for the first time, leveraging the full-shape (FS) information of IA statistics. Our forecast is based on PFS-like and Euclid-like surveys as examples of deep and wide galaxy surveys, respectively. We explore…

[2025-06-10 Tue (UTC), no new articles found for stat.OT Other Statistics]
toXiv_bot_toot

[2025-06-09 Mon (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
#toXiv_bot_toot #toXiv_bot_new_article_summary_toot

[2025-05-09 Fri (UTC), no new articles found for stat.OT Other Statistics]
#toXiv_bot_toot

[2025-06-09 Mon (UTC), no new articles found for stat.OT Other Statistics]
#toXiv_bot_toot #toXiv_bot_new_article_summary_toot

[2025-06-06 Fri (UTC), 5 new articles found for math.ST Statistics Theory]
#toXiv_bot_toot

[2025-05-08 Thu (UTC), 1 new article found for stat.OT Other Statistics]
#toXiv_bot_toot

Developing Assessment Methods for Evaluating Learning Experience
Maneesha
https://arxiv.org/abs/2505.04176 https://arxiv.org/pdf/2505…

Developing Assessment Methods for Evaluating Learning Experience
This research aims to investigate the gender-based learning experiences of engineering students enrolled in the Probability and Statistics course, focusing on the four different assessment methods employed namely direct conceptual learning (DCL), symposium, applied deployment and collaborative learning. The study encompasses 299 engineering students, comprising 90 females and 209 males. Multivariate Analysis of Variance (MANOVA), is used to gain deeper insights into the complex interplay betwee…