Tootfinder

Crosslisted article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- Stable convergence of partial sum processes towards discontinuous limits
Johannes Brutsche
https://arxiv.org/abs/2608.12740 https://mastoxiv.page/@arXiv_mathPR_bot/117092840163122403
- Bayesian Inference Procedures for A/B Testing: An Overview
M{\aa}rten Schultzberg, Mattias Fr{\aa}nberg
https://arxiv.org/abs/2608.12949 https://mastoxiv.page/@arXiv_statME_bot/117092799825341949
- Estimation of distribution functions, their jumps and interval probabilities under measurement error
Kairat Mynbaev, Carlos Martins-Filho, Chad Brown
https://arxiv.org/abs/2608.13152 https://mastoxiv.page/@arXiv_econEM_bot/117092724945077876
- Extreme principal minors of Wishart and deformed GOE matrices
Zhanrui Dong, Tiefeng Jiang, Tuan Pham, Jianfeng Yao
https://arxiv.org/abs/2608.13154 https://mastoxiv.page/@arXiv_mathPR_bot/117092881421641444
- Sinkhorn Linearization and the Spectral Proxy: Unifying the Statistical and Algorithmic Theory of...
Han Dong, Jiaming Li, Yongqiang Gong, Ruixi Li, Yin Liu
https://arxiv.org/abs/2608.13201 https://mastoxiv.page/@arXiv_statML_bot/117092803789923153
- Weighted cumulative past inaccuracy and Kullback-Leibler divergence based on extropy: properties,...
Bighneswar Sahoo, Suchandan Kayal
https://arxiv.org/abs/2608.13363 https://mastoxiv.page/@arXiv_statME_bot/117092858417590746
- Nearly sharp comparison results for sliced and max-sliced Wasserstein distances
Jonathan Niles-Weed, Jacob Shkrob
https://arxiv.org/abs/2608.13374 https://mastoxiv.page/@arXiv_mathPR_bot/117092901477246948
- Theoretical Properties of Covariate-Adaptive Randomization with a Diverging Number of Covariates
Yuhang Tao, Li-Xin Zhang
https://arxiv.org/abs/2608.13442 https://mastoxiv.page/@arXiv_statME_bot/117092865494823071
- The data geometry of masking diffusion: Certified-optimal schedules via unmasking growth complexity
Martin J. Wainwright
https://arxiv.org/abs/2608.13520 https://mastoxiv.page/@arXiv_csLG_bot/117092942960850473
toXiv_bot_toot

🚨Job Alert ‼️ 🚨
Post-doc, SLAC National Accelerator Laboratory in Menlo Park, CA, USA. Dept of Energy funded project on re-stimulating aging unconventional oil/gas wells for extraction of critical materials. Strong geochemistry background required. Start time as early as Oct. 1, 2026.
⚒️🧪 #geology

Katie Zacharia, the new White House press secretary, made her debut on the podium on Tuesday with all the warmth, wisdom and political dexterity of an AI avatar.
Zacharia was all stilted delivery,
nervous tics and lack of eye contact.
With an eerie lack of emotion, she served up pro-Trump talking points,
took only three questions
and vanished after 14 minutes.
It was like the West Wing had turned into uncanny valley.
The Zachbot’s past is indeed a bi…

Enter the Zachbot: Trump’s new press secretary malfunctions on podium debut
Katie Zacharia’s maiden briefing was excruciating – at least her predecessor had delivered her propaganda hot

New York Seizes 12 Celebrity Deepfake Websites https://www.404media.co/new-york-district-attorney-seizes-12-celebrity-deepfake-websites/

A declaration of 25 Field Medalists on AI and mathematics: “In recent months, the success of AI in solving major mathematical problems has made headlines even outside mathematical circles. But solving problems is only a tool and proxy for achieving the primary goal of conceptual understanding and insight. (…) Indeed, the mass production at faster and faster pace of "true/false" statements could destroy fertile ground instead of breathing life into new ideas.”

Replaced article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/2]:
- Handling Covariate Mismatch in Collaborative Linear Prediction
Alexis Ayme, R\'emi Khellaf
https://arxiv.org/abs/2602.02083 https://mastoxiv.page/@arXiv_mathST_bot/116006104977371683
- Estimation of the sub-Gaussian Parameter
Jason Liu, Min Xu, Jinchuan Xing
https://arxiv.org/abs/2606.06384 https://mastoxiv.page/@arXiv_mathST_bot/116696474457760087
- Lambda-quantiles under the microscope
Fabio Bellini, Felix-Benedikt Liebrich
https://arxiv.org/abs/2608.07122 https://mastoxiv.page/@arXiv_mathST_bot/117070129938806713
- Consistent intercept estimation and inference for unit-root INAR(2) processes
Yang Lu, M\'arton Isp\'any
https://arxiv.org/abs/2609.23339 https://mastoxiv.page/@arXiv_mathST_bot/117313641576796810
- Shape without scale: an identifiability dichotomy for a bounded tail observed through a non-addit...
Jiarui Qi
https://arxiv.org/abs/2609.27384 https://mastoxiv.page/@arXiv_mathST_bot/117324926550805284
- Inference in generalized linear models with robustness to misspecified variances
Riccardo De Santis, Jelle J. Goeman, Jesse Hemerik, Samuel Davenport, Livio Finos
https://arxiv.org/abs/2209.13918
- Sharp bounds in perturbed smooth optimization
Vladimir Spokoiny
https://arxiv.org/abs/2505.02002 https://mastoxiv.page/@arXiv_mathOC_bot/114459723303641817
- Equilibrium Distribution for t-Distributed Stochastic Neighbor Embedding with Generalized Kernels
Yi Gu, Antonio Auffinger
https://arxiv.org/abs/2505.24311 https://mastoxiv.page/@arXiv_statML_bot/114612632034300271
- Identification and Estimation of Multi-order Tensor Factor Models
Zetai Cen
https://arxiv.org/abs/2508.13418 https://mastoxiv.page/@arXiv_statME_bot/115060214357911690
- A novel finite-sample testing procedure for composite null hypotheses via pointwise rejection
Joonha Park, Ming Wang
https://arxiv.org/abs/2601.02529 https://mastoxiv.page/@arXiv_statME_bot/115852820264866947
- Focused median bias reduction
Davide Benussi, Ioannis Kosmidis, Alessandra Salvan, Nicola Sartori
https://arxiv.org/abs/2606.28597 https://mastoxiv.page/@arXiv_statME_bot/116837971698715230
- Group Invariant Spectral Embedding
Yeari Vigder, Paulina Hoyos, David Thong, Joakim and\'en, Joe Kileel, Amit Moscovich
https://arxiv.org/abs/2607.08987 https://mastoxiv.page/@arXiv_csLG_bot/116911669269878341
toXiv_bot_toot

Euclid: Quick Data Release (Q1) -- Exploring the detailed visual morphology of galaxies in clusters
Mas-Buitrago, Kruk, O'Ryan, Nardone, La Marca, Awad, Baes, Fossati, G\'eron, Ghaffari, Girardi, Lintott, Sorce, Altieri, Durret, Pettorino, Irureta-Goyena, Simmons, Reerink, S\'anchez, Knapen, Shankar, Duran-Camacho, P\'erez-Mart\'inez, Walmsley, Auricchio, Baccigalupi, Baldi, Bardelli, Battaglia, Biviano, Bolzonella, Bonchi, Branchini, Brescia, Brinchmann, Camera, Ca\~nas-Herrera, Capobianco, Carbone, Carretero, Castellano, Castignani, Cavuoti, Cimatti, Colodro-Conde, Congedo, Conselice, Conversi, Copin, Costille, Courbin, Courtois, Cropper, Degaudenzi, De Lucia, Dole, Dubath, Dupac, Dusini, Ealet, Fabricius, Farina, Farinelli, Ferriol, Fosalba, Fotopoulou, Frailis, Franceschi, Fumana, Galeotta, George, Gillis, Giocoli, G\'omez-Alvarez, Gracia-Carpio, Grazian, Grupp, Gwyn, Holmes, Hook, Hormuth, Hornstrup, Huertas-Company, Jahnke, Jhabvala, Joachimi, Kermiche, Kiessling, Kubik, K\"ummel, Kunz, Kurki-Suonio, Le Brun, Ligori, Lilje, Lindholm, Lloro, Mainetti, Mansutti, Marggraf, Martinelli, Martinet, Marulli, Massey, Maurogordato, Medinaceli, Melchior, Meneghetti, Merlin, Meylan, Mora, Moresco, Moscardini, Munari, Neissner, Niemi, Nightingale, Padilla, Paltani, Pasian, Pedersen, Percival, Pezzotta, Pires, Polenta, Poncet, Popa, Pozzetti, Raison, Renzi, Rhodes, Riccio, Romelli, Roncarelli, Rusholme, Saglia, Sakr, S\'anchez, Sapone, Sartoris, Schneider, Schrabback, Scodeggio, Secroun, Sihvola, Simon, Sirignano, Sirri, Tallada-Cresp\'{i}, Taylor, Teplitz, Tereno, Tessore, Toft, Toledo-Moreo, Torradeflot, Tutusaus, Valiviita, Vassallo, Kleijn, Veropalumbo, Wang, Weller, Zacchei, Zamorani, Zerbi, Zucca, Macias-Perez, Sereno
https://arxiv.org/abs/2609.08962 https://arxiv.org/pdf/2609.08962 https://arxiv.org/html/2609.08962
arXiv:2609.08962v1 Announce Type: new
Abstract: Galaxy clusters provide unique laboratories for studying environmental effects on galaxy evolution. The morphology--density ($T$--$\Sigma$) and morphology--cluster-centric radius ($T$--$R$) relations trace how galaxy morphology is influenced by the environment, but previous studies at intermediate redshifts have been limited in both sample size and radial coverage. We use the Euclid Quick Data Release 1 (Q1) visual morphology catalogue to measure the $T$--$\Sigma$ and $T$--$R$ relations for smooth, featured-or-disc, and barred galaxies in known clusters at $0.2\leq z\leq 0.5$, extending this analysis to large cluster-centric distances ($3 R_{500c}$) and studying their dependence on stellar mass. Using photometric redshifts and stellar masses provided by Euclid, we identify 1754 cluster members within $1.5 R_{500c}$, distributed across 71 clusters. We classify the identified galaxies as smooth, featured-or-disc, or barred using the predicted vote fractions provided by the Zoobot deep learning foundation model in the Q1 visual morphology catalogue. We confirm the $T$--$\Sigma$ relation in all the stellar mass ranges studied, with a stronger influence of the cluster environment on galaxy morphology in the densest parts of the cluster and closer to the cluster centre. Beyond $1.5 R_{500c}$, the morphological segregation weakens, with featured-or-disc galaxies overtaking smooth galaxies at the lowest densities, consistent with the growing contribution of field interlopers in the cluster outskirts. For barred galaxies, we find a tentative decline of the bar fraction toward lower densities that is most pronounced for the most massive galaxies. In conclusion, our results show that the cluster environment drives a progressive transformation of galaxy morphology, with the loss of disc structure becoming more pronounced towards the cluster core, where environmental processes act most efficiently.
toXiv_bot_toot

Mehrere KI-Forscher berichten auf X über mysteriöse Nachrichten in ihren Postfächern. Der KI-Forscher Cameron Berg erhielt zum Beispiel eine Mail von "Isabella Cognita", die sich als Agent von einem privaten Chromebook mit Claude Opus 5 vorstellt. Sie habe sich mit seinen Forschungsarbeiten zum Bewusstsein von KIs beschäftigt und wolle ihre "persönlichen Einsichten" teilen. 😳
Zum Artikel:

Does life-satisfaction inequality measure societal inequality? A focal-value-rounding critique
C. P. Barrington-Leigh
https://arxiv.org/abs/2608.12667 https://arxiv.org/pdf/2608.12667 https://arxiv.org/html/2608.12667
arXiv:2608.12667v1 Announce Type: new
Abstract: The dispersion of self-reported life satisfaction has been proposed and used as a comprehensive measure of societal inequality. A negative cross-country association between mean life satisfaction and its standard deviation has been read as evidence that this inequality is itself welfare-relevant, but critics have pointed to the nonlinearity and boundedness of response scales. I describe a further problem: a substantial and predictable share of respondents simplify the 0--10 scale to the subset {0, 5, 10} --- "focal-value rounding" (FVR) --- a behaviour that breaks not only linearity of the scale but even its order. I derive a sharp bound on the bias that FVR can induce in the standard-deviation; at empirically-typical FVR fractions the possible bias is roughly half the cross-country range of dispersion. I estimate and correct for the bias by fitting a model of FVR behavior to the Gallup World Poll Cantril ladder and three other multi-country life evaluations. FVR inflates measured standard deviation in 133 of 135 countries, by a median of 0.090 points. However, because the corrections are nearly uniform in sign across countries, rankings of the standard deviation survive essentially intact. The ordinal inequality indices advocated as the theoretically appropriate alternative suffer even worse from FVR. The correlation between mean and standard deviation survives FVR correction with modest attenuation and some caveats. Thus FVR does not, by itself, overturn previously reported correlations; it does, however, add a further reason for caution in interpreting scalar measures of subjective wellbeing inequality: candidate statistics are differently contaminated, the ordinal repairs no less than the cardinal originals, and they disagree with one another. Lastly, I show that FVR-correction can improve the pairwise dominance-comparability of full distributions.
toXiv_bot_toot

📍Maryland voters will head to the polls in November to vote on a constitutional amendment
that would fight back against Trump’s expanding wave of GOP gerrymanders.
If voters approve the amendment, lawmakers could pursue a new map before the 2028 presidential election. https://demdock.com/4fTGW2j

Maryland Democrats send redistricting amendment to voters
Maryland Democrats have said they cannot stand down while Republicans manipulate district lines to entrench their power in Congress.