Tootfinder

The U.S. Department of Education is far behind on producing key statistics (Dominique J. Baker/Brookings)
https://www.brookings.edu/articles/the-u-s-department-of-education-is-far-behind-on-producing-key-statistics/
http://www.memeorandum.com/250625/p150#a250625p150

Non-Gaussian statistics in galaxy weak lensing: compressed three-point correlations and cosmological forecasts
Sofia Samario-Nava, Alejandro Aviles, Juan Carlos Hidalgo
https://arxiv.org/abs/2506.19811

Non-Gaussian statistics in galaxy weak lensing: compressed three-point correlations and cosmological forecasts
Building on previous developments of a harmonic decomposition framework for computing the three-point correlation function (3PCF) of projected scalar fields over the sky, this work investigates how much cosmological information is contained in these higher-order statistics. We perform a forecast to determine the number of harmonic multipoles required to capture the full information content of the 3PCF in the context of galaxy weak lensing, finding that only the first few multipoles are sufficie…

Symmetric decompositions and Euler-Stirling statistics on Stirling permutations
Shi-Mei Ma, Jianfeng Wang, Guiying Yan, Jean Yeh, Yeong-Nan Yeh
https://arxiv.org/abs/2507.17667

Symmetric decompositions and Euler-Stirling statistics on Stirling permutations
The Stirling permutations introduced by Gessel-Stanley have recently received considerable attention. Motivated by Ji's recent work on Euler-Stirling statistics of permutations (Sci China Math., 2025), we present several symmetric decompositions of the enumerators related to Euler-Stirling statistics of Stirling permutations. Firstly, we provide a partial symmetric decomposition for the $1/k$-Eulerian polynomial. Secondly, we give several unexpected applications of the $(p,q)$-Eulerian polynomi…

This is such a good summary of "the problem with 'data science'", as it tries to replace any domain expertise with the misguided notion that some form of statistics.
And so you end up with (maybe even well-meaning) researchers that are so far in over their head that they don't even know what they don't know.
Case in point: the authors of the preprint come from mathematics, computer science, physics, and 'future studies' (lol)…
@…

In 2020, Scotland generated 32TWh of electricity from wind alone.
https://www.scottishrenewables.com/our-industry/statistics
In 2023, Scotland consumed 21.8TWh of electricity in total.

Renewable Energy Facts & Statistics | Scottish Renewables
Scotland's renewable energy sector in numbers. Scotland’s renewable energy sector is growing and developing year-on-year. Discover facts, statistics and figures from Scotland's renewable energy sector.

Let's not call it #AI until it has actual Intelligence. I propose a new name, even better than the technically accurate "Applied Statistics", we should call them #Dumbots

If you build it, they will come.
UK DSO National Grid Energy Distribution has worked to remove barriers for consumer energy resources participating in its local flexibility market. With great success, over 50% of all #EV chargers in its area are now registered.

If you build it, they will come | Jaap Burger
If you build it, they will come Applying that well-worn phrase here: 'It' is a local flexibility market. 'They' refers to the flexibility inherent in EV home charging that has not previously been used to support the local grid. National Grid Electricity Distribution's impressive statistics show that more than 50% of EV chargers in its area are registered to deliver flexibility services. In terms of the number of assets, 90% of those registered are from domestic households, mainly in the form …

Modelling Statistics of Polypeptides in Emissions from Smokers Near Ocean Ridges
Ben Intoy, J. W. Halley
https://arxiv.org/abs/2506.20052 https://

Modelling Statistics of Polypeptides in Emissions from Smokers Near Ocean Ridges
We have previously shown in model studies that rapid quenches of systems of monomers interacting to form polymer chains can fix nonequilibrium chemistries which could lead to the origin of life. We suggested that such quenching processes might have occurred at very high rates on early earth, giving an efficient mechanism for natural sorting through enormous numbers of nonequilibrium chemistries from which those most likely to lead to life could be naturally selected. Taking account of kinetic b…

Yes, Starlink went brrrrrrpt for a bit.

Replaced article(s) found for stat.OT. https://arxiv.org/list/stat.OT/new
[1/1]:
- Oral exams in introductory statistics class with non-native English speakers
Eric Yanchenko

Pattern formation Statistics on Fermat Quotients
Cristian Cobeli, Alexandru Zaharescu, Zhuo Zhang
https://arxiv.org/abs/2506.17684 https://

Pattern formation Statistics on Fermat Quotients
Despite their simple definition as $\mathfrak{q}_p(b):=\frac{b^{p-1}-1}{p} \pmod p$, for $0\le b \le p^2-1$ and $\gcd(b,p)=1$, and their regular arrangement in a $p\times(p-1)$ Fermat quotient matrix $\mathtt{FQM}(p)$ of integers from $[0,p-1]$, Fermat quotients modulo $p$ are well known for their overall lack of regularity. Here, we discuss this contrasting effect by proving that, on the one hand, any line of the matrix behaves like an analogue of a randomly distributed sequence of numbers, an…

Replaced article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- Stable and consistent density-based clustering via multiparameter persistence
Alexander Rolle, Luis Scoccola

PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking
Yan Zhou, Chunwei Liu, Bhuvan Urgaonkar, Zhengle Wang, Magnus Mueller, Chao Zhang, Songyue Zhang, Pascal Pfeil, Dominik Horn, Zhengchun Liu, Davide Pagano, Tim Kraska, Samuel Madden, Ju Fan
https://arxiv.org/abs/2506.16379

PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking
Cloud service providers commonly use standard benchmarks like TPC-H and TPC-DS to evaluate and optimize cloud data analytics systems. However, these benchmarks rely on fixed query patterns and fail to capture the real execution statistics of production cloud workloads. Although some cloud database vendors have recently released real workload traces, these traces alone do not qualify as benchmarks, as they typically lack essential components like the original SQL queries and their underlying dat…

John #Tukey @ #xkcd: https://xkcd.com/3104/

Continuous sample space reducing stochastic process
Rahul Chhimpa, Avinash Chand Yadav\
https://arxiv.org/abs/2507.18086 https://arxiv.org/pdf/2507.18086…

Continuous sample space reducing stochastic process
We propose a simple model for sample space reducing (SSR) stochastic process, where the dynamical variable denoting the size of the state space is continuous. In general, one can view the model as a multiplicative stochastic process, with a constraint that the size of the state space cannot be smaller than a visibility parameter $ε$. We study the survival time statistics that reveal a subtle difference from the discrete version of the process. A straightforward generalization can explain the n…

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…

Comments on Exploring Quantum Statistics for Dirac and Majorana Neutrinos using Spinor-Helicity technique (arXiv:2507.07180 [hep-ph])
C. S. Kim, M. V. N. Murthy, Dibyakrupa Sahoo
https://arxiv.org/abs/2507.14463

Comments on Exploring Quantum Statistics for Dirac and Majorana Neutrinos using Spinor-Helicity technique (arXiv:2507.07180 [hep-ph])
We give our comments on Ref. [1](arXiv:2507.07180) which critiques our idea of exploring quantum statistics to distinguish between Dirac and Majorana neutrinos proposed in some of our earlier works. We show that the ad-hoc symmetrization of the Dirac case amplitude square advocated in Eqs. (16) and (35) of [1], have no physical basis and it leads to violation of lepton number in the the standard model. Therefore, we consider this symmetrization by hand as incorrect and misleading. Moreover, we …

I feel very seen here: I also write directly into the CMS.
(Original title: A Salute To The 13%)
https://aftermath.site/godot-version-control-statistics-cms

A Salute To The 13% - Aftermath
Let them live a little

"I wanted to see the ratio between IPv4 and IPv6 on my computers and decided to write a litle ncurses based tool that does this"
https://github.com/mdavids/ets

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Tunable correlation retention: A statistical method for generating synthetic data
Nicklas J\"averg{\aa}rd, Rainey Lyons, Adrian Muntean, Jonas Forsman
…

Summary Statistics of Large-scale Model Outputs for Observation-corrected Outputs
Atlanta Chakraborty, Julie Bessac
https://arxiv.org/abs/2506.15845 https:…

Summary Statistics of Large-scale Model Outputs for Observation-corrected Outputs
Physics-based models capture broad spatial and temporal dynamics, but often suffer from biases and numerical approximations, while observations capture localized variability but are sparse. Integrating these complementary data modalities is important to improving the accuracy and reliability of model outputs. Meanwhile, physics-based models typically generate large outputs that are challenging to manipulate. In this paper, we propose Sig-PCA, a space-time framework that integrates summary stati…

R learning for applied statistics by Chenxin Li: #rstats

Quantum stroboscopy for time measurements
Seth Lloyd, Lorenzo Maccone, Lionel Martellini, Simone Roncallo
https://arxiv.org/abs/2507.17740 https://arxiv.or…

Quantum stroboscopy for time measurements
Mielnik's cannonball argument uses the Zeno effect to argue that projective measurements for time of arrival are impossible. If one repeatedly measures the position of a particle (or a cannonball!) that has yet to arrive at a detector, the Zeno effect will repeatedly collapse its wavefunction away from it: the particle never arrives. Here we introduce quantum stroboscopic measurements where we accumulate statistics of projective position measurements, performed on different copies of the system…

Past week statistics for faction war.
Check more info in the ALT text in the attached screenshot or just look at the screenshot 😄
Editing to take a glimpse at the guild "Mastodon Fediverse Unity" ... 3/7 online...
#MastodonFedivers #AlbionOnline

I am now heading to Shreveport, Louisiana, the home of Speaker Mike Johnson.
He is the architect of Trump's "big beautiful bill," the most destructive piece of legislation in modern history.
And his constituents need to know that.
@BernieSanders

Replaced article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- Bootstrap-based tests for the total time on test and the excess wealth orders
Tommaso Lando, Sirio Legramanti

Unconventional Thermalization of a Localized Chain Interacting with an Ergodic Bath
Konrad Pawlik, Nicolas Laflorencie, Jakub Zakrzewski
https://arxiv.org/abs/2507.18286 https:/…

Unconventional Thermalization of a Localized Chain Interacting with an Ergodic Bath
The study of many-body localized (MBL) phases intrinsically links spectral properties with eigenstate characteristics: localized systems exhibit Poisson level statistics and area-law entanglement entropy, while ergodic systems display volume-law entanglement and follow random matrix theory predictions, including level repulsion. Here, we introduce the interacting Anderson Quantum Sun model, which significantly deviates from these conventional expectations. In addition to standard localized and …

Local Statistics of Singular Values for Products of Truncated Unitary Matrices
Yandong Gu, Dang-Zheng Liu
https://arxiv.org/abs/2506.14193 https://

Local Statistics of Singular Values for Products of Truncated Unitary Matrices
This paper investigates local spectral statistics of singular values for many products of independent large rectangular matrices, sampled from the ensemble of truncated unitary matrices with the invariant Haar measure. Our main contribution establishes a universal three-phase transition in these statistics, demonstrating an interpolation beween GUE statistics and classical Gaussian behavior. While such transition was previously known for products of complex Gaussian matrices\cite{ABK19}\cite{LW…

rd-spiral: An open-source Python library for learning 2D reaction-diffusion dynamics through pseudo-spectral method
Sandy H. S. Herho, Iwan P. Anwar, Rusmawan Suwarman
https://arxiv.org/abs/2506.20633

rd-spiral: An open-source Python library for learning 2D reaction-diffusion dynamics through pseudo-spectral method
We introduce rd-spiral, an open-source Python library for simulating 2D reaction-diffusion systems using pseudo-spectral methods. The framework combines FFT-based spatial discretization with adaptive Dormand-Prince time integration, achieving exponential convergence while maintaining pedagogical clarity. We analyze three dynamical regimes: stable spirals, spatiotemporal chaos, and pattern decay, revealing extreme non-Gaussian statistics (kurtosis $>96$) in stable states. Information-theoretic m…

Replaced article(s) found for q-bio.PE. https://arxiv.org/list/q-bio.PE/new
[1/1]:
- Finite size scaling of survival statistics in metapopulation models
Alice Doimo, Giorgio Nicoletti, Davide Bernardi, Prajwal Padmanabha

Metallicity fluctuation statistics in the interstellar medium and young stars -- II. Elemental cross-correlations and the structure of chemical abundance space
Mark R. Krumholz, Yuan-Sen Ting, Zefeng Li, Chuhan Zhang, Jennifer Mead, Melissa K. Ness
https://arxiv.org/abs/2507.14572

Metallicity fluctuation statistics in the interstellar medium and young stars -- II. Elemental cross-correlations and the structure of chemical abundance space
Observations of Milky Way stars by multiplexed spectroscopic instruments and of gas in nearby galaxies using integral field units have made it possible to measure the abundances of multiple elements in both the interstellar medium and the stars that form out of it. These observations have revealed complex correlations between elemental abundances, but thus far there has been no theoretical framework to interpret these data. In this paper we extend the simple stochastically-forced diffusion mode…

Safety Certificate against Latent Variables with Partially Unidentifiable Dynamics
Haoming Jing, Yorie Nakahira
https://arxiv.org/abs/2506.17927 https://…

Safety Certificate against Latent Variables with Partially Unidentifiable Dynamics
Many systems contain latent variables that make their dynamics partially unidentifiable or cause distribution shifts in the observed statistics between offline and online data. However, existing control techniques often assume access to complete dynamics or perfect simulators with fully observable states, which are necessary to verify whether the system remains within a safe set (forward invariance) or safe actions are consistently feasible at all times. To address this limitation, we propose a…

New Hardness Results for Low-Rank Matrix Completion
Dror Chawin, Ishay Haviv
https://arxiv.org/abs/2506.18440 https://arxiv.org/pdf/2…

New Hardness Results for Low-Rank Matrix Completion
The low-rank matrix completion problem asks whether a given real matrix with missing values can be completed so that the resulting matrix has low rank or is close to a low-rank matrix. The completed matrix is often required to satisfy additional structural constraints, such as positive semi-definiteness or a bounded infinity norm. The problem arises in various research fields, including machine learning, statistics, and theoretical computer science, and has broad real-world applications. This…

Improving the Generation of VAEs with High Dimensional Latent Spaces by the use of Hyperspherical Coordinates
Alejandro Ascarate, Leo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Olivier Salvado
https://arxiv.org/abs/2507.15900

Improving the Generation of VAEs with High Dimensional Latent Spaces by the use of Hyperspherical Coordinates
Variational autoencoders (VAE) encode data into lower-dimensional latent vectors before decoding those vectors back to data. Once trained, decoding a random latent vector from the prior usually does not produce meaningful data, at least when the latent space has more than a dozen dimensions. In this paper, we investigate this issue by drawing insight from high dimensional statistics: in these regimes, the latent vectors of a standard VAE are by construction distributed uniformly on a hyperspher…

Replaced article(s) found for stat.OT. https://arxiv.org/list/stat.OT/new
[1/1]:
- Structural restrictions in local causal discovery: identifying direct causes of a target variable
Juraj Bodik, Val\'erie Chavez-Demoulin

So the 🇵🇭 Philippine Statistics Authority released the 2024 census report last Thursday:
https://psa.gov.ph/content/2024-census-population-popcen-population-counts-declared-official-president
A fellow

I tried hunting POTA with five different #HamRadio antenna arrangements while taking a short holiday at the beach over the past few days. I tried the built-in antenna on my KX3, a 20m vertical with radials on a deck, the same vertical with radials stuck with a stake into the top of a sand dune, and two inverted-V 40m end-fed half wave arrangements on a spiderbeam, a north/south and an e…

Multiplicity of young isolated #PlanetaryMassObjects in Taurus and Upper Scorpius: https://arxiv.org/abs/2506.14380 -> "Despite the limitations of small-number statistics and variations in spatial resolution and sensitivity, our results, combined with previous high-spatial-resolution surveys, suggest a notable difference in the multiplicity properties of objects below 25 M_Jupiter between Upper Sco and Taurus."

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Novel computational approaches for ratio distributions with an application to Hake's ratio in eff...
Jozef Han\v{c}, Martina Han\v{c}ov\'a, Dominik Borovsk…

Replaced article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- Polynomial time guarantees for sampling based posterior inference in high-dimensional generalised...
Randolf Altmeyer

Three-dimensional velocity gradient statistics in a mesoscale convection laboratory experiment
Prafulla P. Shevkar, Roshan J. Samuel, Christian Cierpka, J\"org Schumacher
https://arxiv.org/abs/2506.13155

Three-dimensional velocity gradient statistics in a mesoscale convection laboratory experiment
We present three-dimensional velocity gradient statistics from Rayleigh--Bénard convection experiments in a horizontally extended cell of aspect ratio 25, a paradigm for mesoscale convection. The Rayleigh number $Ra$ ranges from $3.7 \times 10^5$ to $4.8 \times 10^6$, and the Prandtl number $Pr$ from 5 to 7.1. Spatio-temporally resolved volumetric data are reconstructed from moderately dense Lagrangian particle tracking measurements. All nine components of the velocity gradient tensor from the…

@…
Looking at your profile this second, it says you have 666 posts.
"He's got the devil in him!"
(The statistics seem to vary a little depending on how one looks at them, so YMMV.)

Data Compression with Relative Entropy Coding
Gergely Flamich
https://arxiv.org/abs/2506.16309 https://arxiv.org/pdf/2506.16309

Data Compression with Relative Entropy Coding
Over the last few years, machine learning unlocked previously infeasible features for compression, such as providing guarantees for users' privacy or tailoring compression to specific data statistics (e.g., satellite images or audio recordings of animals) or users' audiovisual perception. This, in turn, has led to an explosion of theoretical investigations and insights that aim to develop new fundamental theories, methods and algorithms better suited for machine learning-based compressors. In…

The Evolution of Pointwise Statistics in Hyperbolic Equations with Random Data
Alina Chertock, Pierre Degond, Amir Sagiv, Li Wang
https://arxiv.org/abs/2507.11399

The Evolution of Pointwise Statistics in Hyperbolic Equations with Random Data
We consider one-dimensional hyperbolic PDEs, linear and nonlinear, with random initial data. Our focus is the {\em pointwise statistics,} i.e., the probability measure of the solution at any fixed point in space and time. For linear hyperbolic equations, the probability density function (PDF) of these statistics satisfies the same linear PDE. For nonlinear hyperbolic PDEs, we derive a linear transport equation for the cumulative distribution function (CDF) and a nonlocal linear PDE for the PDF.…

Description using equilibrium temperature in the canonical ensemble within the framework of the Tsallis statistics with the conventional expectation value
Masamichi Ishihara
https://arxiv.org/abs/2507.15258

Description using equilibrium temperature in the canonical ensemble within the framework of the Tsallis statistics with the conventional expectation value
We studied the thermodynamic quantities and the probability distribution, expressing the probability distribution as a function of the energy, in the canonical ensemble within the framework of the Tsallis statistics, which is characterized by the entropic parameter $q$, with the conventional expectation value. We treat the power-law-like distribution. The equilibrium temperature, which is often called the physical temperature, is employed to describe the probability distribution. The Tsallis st…

The Journey from Planck Distribution to Bose Statistics From Classical to Quantum Mechanics and Beyond
Shreetam Dash, Prasanta K. Panigrahi
https://arxiv.org/abs/2505.11519

The Journey from Planck Distribution to Bose Statistics From Classical to Quantum Mechanics and Beyond
In 1924, Satyendra Nath Bose's pioneering work laid the foundation for Bose-Einstein statistics, which describes particles with integral spins. His derivation of Planck's law for blackbody radiation bypassed classical assumptions, relying instead on the statistical mechanics of light quanta. Bose's methodology addressed limitations in existing theories, such as Einstein's dependence on classical concepts like Wien's displacement law and Bohr's correspondence principle. Further, his work undersc…

An AI-powered Tool for Central Bank Business Liaisons: Quantitative Indicators and On-demand Insights from Firms
Nicholas Gray, Finn Lattimore, Kate McLoughlin, Callan Windsor
https://arxiv.org/abs/2506.18505

An AI-powered Tool for Central Bank Business Liaisons: Quantitative Indicators and On-demand Insights from Firms
In a world of increasing policy uncertainty, central banks are relying more on soft information sources to complement traditional economic statistics and model-based forecasts. One valuable source of soft information comes from intelligence gathered through central bank liaison programs -- structured programs in which central bank staff regularly talk with firms to gather insights. This paper introduces a new text analytics and retrieval tool that efficiently processes, organises, and analyses …

Explainable speech emotion recognition through attentive pooling: insights from attention-based temporal localization
Tahitoa Leygue (DIASI), Astrid Sabourin (DIASI), Christian Bolzmacher (DIASI), Sylvain Bouchigny (DIASI), Margarita Anastassova (DIASI), Quoc-Cuong Pham (DIASI)
https://arxiv.org/abs/2506.15754

Explainable speech emotion recognition through attentive pooling: insights from attention-based temporal localization
State-of-the-art transformer models for Speech Emotion Recognition (SER) rely on temporal feature aggregation, yet advanced pooling methods remain underexplored. We systematically benchmark pooling strategies, including Multi-Query Multi-Head Attentive Statistics Pooling, which achieves a 3.5 percentage point macro F1 gain over average pooling. Attention analysis shows 15 percent of frames capture 80 percent of emotion cues, revealing a localized pattern of emotional information. Analysis of hi…

EFS: Evolutionary Factor Searching for Sparse Portfolio Optimization Using Large Language Models
Haochen Luo, Yuan Zhang, Chen Liu
https://arxiv.org/abs/2507.17211 https://

EFS: Evolutionary Factor Searching for Sparse Portfolio Optimization Using Large Language Models
Sparse portfolio optimization is a fundamental yet challenging problem in quantitative finance, since traditional approaches heavily relying on historical return statistics and static objectives can hardly adapt to dynamic market regimes. To address this issue, we propose Evolutionary Factor Search (EFS), a novel framework that leverages large language models (LLMs) to automate the generation and evolution of alpha factors for sparse portfolio construction. By reformulating the asset selection …

Stabilizing simulation-based cosmological Fisher forecasts: a case study using the Voronoi volume function
Saee Dhawalikar (IUCAA), Aseem Paranjape (IUCAA), Shadab Alam (TIFR)
https://arxiv.org/abs/2506.16408

Stabilizing simulation-based cosmological Fisher forecasts: a case study using the Voronoi volume function
Forecasting cosmological constraints from halo-based statistics often suffers from instability in derivative estimates, especially when the number of simulations is limited. This instability reduces the reliability of Fisher forecasts and machine learning based approaches that use derivatives. We introduce a general framework that addresses this challenge by stabilizing the input statistic and then systematically identifying the optimal subset of summary statistics that maximizes cosmological i…

A Structural Causal Model for Electronic Device Reliability: From Effects to Counterfactuals
Federico Mattia Stefanini (Department of Environmental Science and Policy, University of Milan, Via Celoria 2, 20133 Milan, Italy), Nedka Dechkova Nikiforova (Department of Statistics Computer Science Applications 'G. Parenti', University of Florence, viale Morgagni 59, Florence, 50134 Florence, Italy), Rossella Berni (Department of Statistics Computer Science Applications 'G. Paren…

A Structural Causal Model for Electronic Device Reliability: From Effects to Counterfactuals
Electronic devices exhibit changes in electrical resistance over time at varying rates, depending on the configuration of certain components. Since measuring overall electrical resistance requires partial disassembly, only a limited number of measurements are performed over thousands of operating hours. This leads to censored failure times, whether under natural stress or under accelerated stress conditions. To address these challenges, including device-specific failure thresholds, a parametric…

A quasi-Monte Carlo multiscale method for the wave propagation in random media
Panchi Li, Zhiwen Zhang
https://arxiv.org/abs/2507.16647 https://arxiv.org/p…

A quasi-Monte Carlo multiscale method for the wave propagation in random media
In this paper, we propose and analyze an accurate numerical approach to simulate the Helmholtz problem in a bounded region with a random refractive index, where the random refractive index is denoted using an infinite series parameterized by stochastic variables. To calculate the statistics of the solution numerically, we first truncate the parameterized model and adopt the quasi-Monte Carlo (qMC) method to generate stochastic variables. We develop a boundary-corrected multiscale method to disc…

Quantum chaos and semiclassical behavior in mushroom billiards I: Spectral statistics
Matic Orel, \v{C}rt Lozej, Marko Robnik, Hua Yan
https://arxiv.org/abs/2507.13823

Quantum chaos and semiclassical behavior in mushroom billiards I: Spectral statistics
We study the aspects of quantum chaos in mushroom billiards introduced by Bunimovich. This family of billiards classically has the property of mixed phase space with precisely one entirely regular and one fully chaotic (ergodic) component, whose size depends on the width w of the stem, and has two limiting geometries, namely the circle (as the integrable system) and stadium (as the fully chaotic system). Therefore, this one-parameter system is ideal to study the semiclassical behavior of the qu…

gsaot: an R package for Optimal Transport-based sensitivity analysis
Leonardo Chiani, Emanuele Borgonovo, Elmar Plischke, Massimo Tavoni
https://arxiv.org/abs/2507.18588 https:/…

gsaot: an R package for Optimal Transport-based sensitivity analysis
gsaot is an R package for Optimal Transport-based global sensitivity analysis. It provides a simple interface for indices estimation using a variety of state-of-the-art Optimal Transport solvers such as the network simplex and Sinkhorn-Knopp. The package is model-agnostic, allowing analysts to perform the sensitivity analysis as a post-processing step. Moreover, gsaot provides functions for indices and statistics visualization. In this work, we provide an overview of the theoretical grounds, of…

From ⁨⁨⁨⁨⁨#AnnafromUkraine⁩⁩⁩⁩⁩ @AnnafromUkraine@youtube.com
🧵 👇
RUSSIA'S HORRIFIC ECONOMIC DATA: HIDING STATISTICS, PRINTING MONEY Vlog 1109: War in #Ukraine
As horrific economic data continues to roll in,

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

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Correct Estimation of Higher-Order Spectra: From Theoretical Challenges to Practical Multi-Channe...
Markus Sifft, Armin Ghorbanietemad, Fabian Wagner, Daniel H\"agele

Likelihood Ratio test for Poisson graph
Chen Shuyan, Liu Xin, Wang Shaoli
https://arxiv.org/abs/2506.18778 https://arxiv.org/pdf/2506…

Likelihood Ratio test for Poisson graph
Directed acyclic graphs are widely used to describe the causal effects among random variables, and the inference of those causal effects has become an popular topic in statistics and machine learning, and has wide applications in neuroinformatics, bioinformatics and so on. However, most studies focus on the estimation or inference of the directional relations among continuous random variables, those among discrete random variables have not gained much attentions. In this article we focus on the…

I'm sorta silently gathering statistics each day about the Steam Deck, where do most people want it? How popular is it in each place?
Plan is to do a graph later...when I have more data...I don't gather a heckuva lot inside the same day...but sometimes I do...I call that "Global var" var as in variable
US, Germany, UK and France...in group 1...then we got group 2 countries and group 3 countries...which aren't actually grouped...it's just how it looks lik…

[2025-05-26 Mon (UTC), no new articles found for stat.OT Other Statistics]
#toXiv_bot_toot

Generalized Spectral Statistics in the Kicked Ising model
Divij Gupta, Brian Swingle
https://arxiv.org/abs/2506.15816 https://arxiv.o…

Generalized Spectral Statistics in the Kicked Ising model
The kicked Ising model has been studied extensively as a model of quantum chaos. Bertini, Kos, and Prosen studied the system in the thermodynamic limit, finding an analytic expression for the spectral form factor, $K(t)$, at the self-dual point with periodic boundary conditions. The spectral form factor is the 2nd moment of the trace of the time evolution operator, and we study the higher moments of this random variable in the kicked Ising model. A previous study of these higher moments by Flac…

[2025-06-25 Wed (UTC), 4 new articles found for math.ST Statistics Theory]
toXiv_bot_toot

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- LArTPC hit-based topology classification with quantum machine learning and symmetry
Duffy, Jastrzebski, Vergani, Whitehead, Cross, Blake, Malik, Marshall

Odd-indexed Fibonacci numbers via pattern-avoiding permutations
Juan B. Gil, Felix H. Xu, William Y. Zhu
https://arxiv.org/abs/2506.15800 https://

Odd-indexed Fibonacci numbers via pattern-avoiding permutations
In this paper, we consider several combinatorial problems whose enumeration leads to the odd-indexed Fibonacci numbers, including certain types of Dyck paths, block fountains, directed column-convex polyominoes, and set partitions with no crossings and no nestings. Our goal is to provide bijective maps to pattern-avoiding permutations and derive generating functions that track certain positional statistics at the permutation level.

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…

[2025-06-25 Wed (UTC), no new articles found for stat.OT Other Statistics]
toXiv_bot_toot

Data-Agnostic Cardinality Learning from Imperfect Workloads
Peizhi Wu, Rong Kang, Tieying Zhang, Jianjun Chen, Ryan Marcus, Zachary G. Ives
https://arxiv.org/abs/2506.16007

Data-Agnostic Cardinality Learning from Imperfect Workloads
Cardinality estimation (CardEst) is a critical aspect of query optimization. Traditionally, it leverages statistics built directly over the data. However, organizational policies (e.g., regulatory compliance) may restrict global data access. Fortunately, query-driven cardinality estimation can learn CardEst models using query workloads. However, existing query-driven models often require access to data or summaries for best performance, and they assume perfect training workloads with complete a…

[2025-06-26 Thu (UTC), 7 new articles found for math.ST Statistics Theory]
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Bye binormal: analysing the joint PDF of galaxy density and weak lensing convergence
Oliver Friedrich, Lina Castiblanco, Anik Halder, Cora Uhlemann
https://arxiv.org/abs/2507.16957

Bye binormal: analysing the joint PDF of galaxy density and weak lensing convergence
At any given scale, 3$\times$2-point statistics extract only three numbers from the joint distribution of the cosmic matter density and galaxy density fluctuations: their variances and their covariance. It is well known that the full shape of the PDF of those fluctuations contains significantly more information than can be accessed through these three numbers. But the study of the PDF of cosmic density fluctuations in real observational data is still in its infancy. Here we present \verb|C…

A Relativity-Based Framework for Statistical Testing Guided by the Independence of Ancillary Statistics: Methodology and Nonparametric Illustrations
Albert Vexler, Douglas Landsittel
https://arxiv.org/abs/2507.11816

A Relativity-Based Framework for Statistical Testing Guided by the Independence of Ancillary Statistics: Methodology and Nonparametric Illustrations
This paper introduces a decision-theoretic framework for constructing and evaluating test statistics based on their relationship with ancillary statistics-quantities whose distributions remain fixed under the null and alternative hypotheses. Rather than focusing solely on maximizing discriminatory power, the proposed approach emphasizes reducing dependence between a test statistic and relevant ancillary structures. We show that minimizing such dependence can yield most powerful (MP) procedures.…

Counting the number of $2$-periodic integral points of a discrete dynamical system with applications from arithmetic statistics, IV
Brian Kintu
https://arxiv.org/abs/2507.08601

Counting the number of $2$-periodic integral points of a discrete dynamical system with applications from arithmetic statistics, IV
In this follow-up paper, we inspect a surprising relationship between the set of $2$-periodic points of a polynomial map $φ_{d, c}$ defined by $φ_{d, c}(z) = z^d + c$ for all $c, z \in \mathbb{Z}$ and the coefficient $c$, where $d>2$ is an integer. As in the previous articles, we again wish to study here counting problems that are inspired by exciting advances of Bhargava-Shankar-Tsimerman and their collaborators on $2$-torsion point-counting in arithmetic statistics, and also by Hutz's conje…

[2025-06-26 Thu (UTC), no new articles found for stat.OT Other Statistics]
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Modifications of the BIC for order selection in finite mixture models
Hien Duy Nguyen, TrungTin Nguyen
https://arxiv.org/abs/2506.20124 https://

Modifications of the BIC for order selection in finite mixture models
Finite mixture models are ubiquitous tools in modern statistical modeling, and a frequently encountered problem that arises in their implementation is the choice of model order. In Kerebin (2000, Sankhya: The Indian Journal of Statistics, Series A, 62, pp. 49-66), the frequently used Bayesian information criterion (BIC) was proved to provide consistent order estimation in the mixture model setting. However, the result requires particularly strong model regularity, including the existence of hig…

[2025-06-25 Wed (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
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[2025-07-25 Fri (UTC), no new articles found for stat.OT Other Statistics]
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Multi-Rank Subspace Change-Point Detection for Monitoring Robotic Swarms
Jonghyeok Lee, Yao Xie, Youngser Park, Jason Hindes, Ira Schwartz, Carey Priebe
https://arxiv.org/abs/2506.18562

Multi-Rank Subspace Change-Point Detection for Monitoring Robotic Swarms
We study the problem of real-time detection of covariance structure changes in high-dimensional streaming data, motivated by applications such as robotic swarm monitoring. Building upon the spiked covariance model, we propose the multi-rank Subspace-CUSUM procedure, which extends the classical CUSUM framework by tracking the top principal components to approximate a likelihood ratio. We provide a theoretical analysis of the proposed method by characterizing the expected detection statistics und…

Scaling Properties of Current Fluctuations in Periodic TASEP
Anastasiia Trofimova, Lu Xu
https://arxiv.org/abs/2507.17750 https://arxiv.org/pdf/2507.17750

Scaling Properties of Current Fluctuations in Periodic TASEP
We investigate current fluctuations in the totally asymmetric simple exclusion process (TASEP) on a ring of size $N$ with $p$ particles. By deforming the Markov generator with a parameter $γ$, we analyze the tilted operator governing current statistics using coordinate Bethe ansatz techniques. We derive implicit expressions for the scaled cumulant generating function (SCGF), i.e. the largest eigenvalue, and the spectral gap in terms of Bethe roots, exploiting the geometric structure of Cassini…

Euclid preparation: Expected constraints on initial conditions
Collaboration, Finelli, Akrami, Andrews, Ballardini, Casas, Karagiannis, Sakr, Valiviita, Alestas, Bartolo, Bermejo-Climent, Nesseris, Paoletti, Sapone, Tutusaus, Ach\'ucarro, Ca\~nas-Herrera, Jasche, Lavaux, Aghanim, Altieri, Amara, Amendola, Andreon, Auricchio, Baccigalupi, Bagot, Baldi, Bardelli, Battaglia, Biviano, Branchini, Brescia, Camera, Capobianco, Carbone, Carretero, Castellano, Castignani, Cavuoti, Chambers,…

Euclid preparation: Expected constraints on initial conditions
The Euclid mission of the European Space Agency will deliver galaxy and cosmic shear surveys, which will be used to constrain initial conditions and statistics of primordial fluctuations. We present highlights for the Euclid scientific capability to test initial conditions beyond LCDM with the main probes, i.e. 3D galaxy clustering from the spectroscopic survey, the tomographic approach to 3x2pt statistics from photometric galaxy survey, and their combination. We provide Fisher forecasts from t…

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 $…

[2025-06-26 Thu (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
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[2025-07-25 Fri (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
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Replaced article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- Reversible Markov chains: variational representations and ordering
Chris Sherlock

Replaced article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- Identifying causal effects in maximally oriented partially directed acyclic graphs
Emilija Perkovi\'c

[2025-05-26 Mon (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
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Comment on "Average Hazard as Harmonic Mean" by Chiba
Hajime Uno, Lu Tian, Miki Horiguchi, Satoshi Hattori
https://arxiv.org/abs/2507.15985 https…

Comment on "Average Hazard as Harmonic Mean" by Chiba
In a recent article published in Pharmaceutical Statistics, Chiba proposed a reinterpretation of the average hazard as a harmonic mean of the hazard function and questioned the validity of the Kaplan-Meier plug-in estimator when the truncation time does not coincide with an observed event time. In this commentary, we examine the arguments presented and highlight several points that warrant clarification. Through simulation studies, we further show that the plug-in estimator provides reliable es…

First-passage and extreme value statistics for overdamped Brownian motion in a linear potential
Feng Huang, Hanshuang Chen
https://arxiv.org/abs/2506.13112

First-passage and extreme value statistics for overdamped Brownian motion in a linear potential
We investigate the first-passage properties and extreme-value statistics of an overdamped Brownian particle confined by an external linear potential $V(x)=μ|x-x_0|$, where $μ>0$ is the strength of the potential and $x_0>0$ is the position of the lowest point of the potential, which coincides with the starting position of the particle. The Brownian motion terminates whenever the particle passes through the origin at a random time $t_f$. Our study reveals that the mean first-passage t…

Replaced article(s) found for stat.OT. https://arxiv.org/list/stat.OT/new
[1/1]:
- The Landscape of College-level Data Visualization Courses, and the Benefits of Incorporating Stat...
Zach Branson, Monica Paz Parra, Ronald Yurko

[2025-06-24 Tue (UTC), 4 new articles found for math.ST Statistics Theory]
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Independent increments and group sequential tests
Anastasios A. Tsiatis, Marie Davidian
https://arxiv.org/abs/2506.15599 https://arxi…

Independent increments and group sequential tests
Widely used methods and software for group sequential tests of a null hypothesis of no treatment difference that allow for early stopping of a clinical trial depend primarily on the fact that sequentially-computed test statistics have the independent increments property. However, there are many practical situations where the sequentially-computed test statistics do not possess this property. Key examples are in trials where the primary outcome is a time to an event but where the a…

[2025-06-24 Tue (UTC), no new articles found for stat.OT Other Statistics]
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[2025-07-24 Thu (UTC), 4 new articles found for math.ST Statistics Theory]
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Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
- Automatic Forward Model Parameterization with Bayesian Inference of Conformational Populations
Robert M. Raddi, Tim Marshall, Vincent A. Voelz

[2025-07-24 Thu (UTC), no new articles found for stat.OT Other Statistics]
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Replaced article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- A leave-one-out approach to approximate message passing
Zhigang Bao, Qiyang Han, Xiaocong Xu

[2025-06-24 Tue (UTC), 1 new article found for physics.data-an Data Analysis, Statistics and Probability]
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Replaced article(s) found for stat.OT. https://arxiv.org/list/stat.OT/new
[1/1]:
- Survey Data Integration for Distribution Function Estimation
Jeremy Flood, Sayed Mostafa

[2025-07-24 Thu (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
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Replaced article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- Seriation of Toeplitz and latent position matrices: optimal rates and computational trade-offs
Cl\'ement Berenfeld, Alexandra Carpentier, Nicolas Verzelen

[2025-06-23 Mon (UTC), 8 new articles found for math.ST Statistics Theory]
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[2025-07-23 Wed (UTC), 4 new articles found for math.ST Statistics Theory]
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