arXiv math.ST Statistics Theory
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Reposted by arXiv math.ST Statistics Theory
Pierre Jean-Claude Robert Bertrand (AMU ECO): A Constructive Method to Minimize the Index of Coincidence under Marginal Constraints https://arxiv.org/abs/2601.09347 https://arxiv.org/pdf/2601.09347 https://arxiv.org/html/2601.09347
January 15, 2026 at 6:33 AM
Pierre Jean-Claude Robert Bertrand (AMU ECO): A Constructive Method to Minimize the Index of Coincidence under Marginal Constraints https://arxiv.org/abs/2601.09347 https://arxiv.org/pdf/2601.09347 https://arxiv.org/html/2601.09347
Reposted by arXiv math.ST Statistics Theory
Xinzi Tan, Kejian Zhang, Junhan Yu, Doudou Zhou: From Hawkes Processes to Attention: Time-Modulated Mechanisms for Event Sequences https://arxiv.org/abs/2601.09220 https://arxiv.org/pdf/2601.09220 https://arxiv.org/html/2601.09220
January 15, 2026 at 6:33 AM
Xinzi Tan, Kejian Zhang, Junhan Yu, Doudou Zhou: From Hawkes Processes to Attention: Time-Modulated Mechanisms for Event Sequences https://arxiv.org/abs/2601.09220 https://arxiv.org/pdf/2601.09220 https://arxiv.org/html/2601.09220
Reposted by arXiv math.ST Statistics Theory
Nawaf Bou-Rabee, Siddharth Mitra, Andre Wibisono: Tail-Sensitive KL and R\'enyi Convergence of Unadjusted Hamiltonian Monte Carlo via One-Shot Couplings https://arxiv.org/abs/2601.09019 https://arxiv.org/pdf/2601.09019 https://arxiv.org/html/2601.09019
January 15, 2026 at 6:54 AM
Nawaf Bou-Rabee, Siddharth Mitra, Andre Wibisono: Tail-Sensitive KL and R\'enyi Convergence of Unadjusted Hamiltonian Monte Carlo via One-Shot Couplings https://arxiv.org/abs/2601.09019 https://arxiv.org/pdf/2601.09019 https://arxiv.org/html/2601.09019
Miguel de Carvalho: On the Kolmogorov Superposition Theorem and Regular Means https://arxiv.org/abs/2601.09659 https://arxiv.org/pdf/2601.09659 https://arxiv.org/html/2601.09659
January 15, 2026 at 6:41 AM
Miguel de Carvalho: On the Kolmogorov Superposition Theorem and Regular Means https://arxiv.org/abs/2601.09659 https://arxiv.org/pdf/2601.09659 https://arxiv.org/html/2601.09659
Ruchira Ray, Marco Avella Medina, Cynthia Rush: Statistical Guarantees for Data-driven Posterior Tempering https://arxiv.org/abs/2601.09122 https://arxiv.org/pdf/2601.09122 https://arxiv.org/html/2601.09122
January 15, 2026 at 6:41 AM
Ruchira Ray, Marco Avella Medina, Cynthia Rush: Statistical Guarantees for Data-driven Posterior Tempering https://arxiv.org/abs/2601.09122 https://arxiv.org/pdf/2601.09122 https://arxiv.org/html/2601.09122
Christopher Blier-Wong: Stochastic representation of Sarmanov copulas https://arxiv.org/abs/2601.09016 https://arxiv.org/pdf/2601.09016 https://arxiv.org/html/2601.09016
January 15, 2026 at 6:41 AM
Christopher Blier-Wong: Stochastic representation of Sarmanov copulas https://arxiv.org/abs/2601.09016 https://arxiv.org/pdf/2601.09016 https://arxiv.org/html/2601.09016
Sven Wang: Global polynomial-time estimation in statistical nonlinear inverse problems via generalized stability https://arxiv.org/abs/2601.09007 https://arxiv.org/pdf/2601.09007 https://arxiv.org/html/2601.09007
January 15, 2026 at 6:41 AM
Sven Wang: Global polynomial-time estimation in statistical nonlinear inverse problems via generalized stability https://arxiv.org/abs/2601.09007 https://arxiv.org/pdf/2601.09007 https://arxiv.org/html/2601.09007
[2026-01-15 Thu (UTC), 4 new articles found for mathST Statistics Theory]
January 15, 2026 at 6:41 AM
[2026-01-15 Thu (UTC), 4 new articles found for mathST Statistics Theory]
Reposted by arXiv math.ST Statistics Theory
Kosuke Morikawa, Jae Kwang Kim: Semiparametric Efficient Data Integration Using the Dual-Frame Sampling Framework https://arxiv.org/abs/2601.08707 https://arxiv.org/pdf/2601.08707 https://arxiv.org/html/2601.08707
January 14, 2026 at 6:54 AM
Kosuke Morikawa, Jae Kwang Kim: Semiparametric Efficient Data Integration Using the Dual-Frame Sampling Framework https://arxiv.org/abs/2601.08707 https://arxiv.org/pdf/2601.08707 https://arxiv.org/html/2601.08707
Reposted by arXiv math.ST Statistics Theory
Wenxuan Guo, Panos Toulis, Yuhao Wang: Permutation Inference under Multi-way Clustering and Missing Data https://arxiv.org/abs/2601.08610 https://arxiv.org/pdf/2601.08610 https://arxiv.org/html/2601.08610
January 14, 2026 at 6:54 AM
Wenxuan Guo, Panos Toulis, Yuhao Wang: Permutation Inference under Multi-way Clustering and Missing Data https://arxiv.org/abs/2601.08610 https://arxiv.org/pdf/2601.08610 https://arxiv.org/html/2601.08610
Reposted by arXiv math.ST Statistics Theory
Jacob Paul Simpson, Efstratios Palias, Sharu Theresa Jose: Sample Complexity of Composite Quantum Hypothesis Testing https://arxiv.org/abs/2601.08588 https://arxiv.org/pdf/2601.08588 https://arxiv.org/html/2601.08588
January 14, 2026 at 6:51 AM
Jacob Paul Simpson, Efstratios Palias, Sharu Theresa Jose: Sample Complexity of Composite Quantum Hypothesis Testing https://arxiv.org/abs/2601.08588 https://arxiv.org/pdf/2601.08588 https://arxiv.org/html/2601.08588
Reposted by arXiv math.ST Statistics Theory
Jakub Gismatullin, Patrick Tardivel: Beta distribution and associated Stirling numbers of the second kind https://arxiv.org/abs/2601.08453 https://arxiv.org/pdf/2601.08453 https://arxiv.org/html/2601.08453
January 14, 2026 at 6:41 AM
Jakub Gismatullin, Patrick Tardivel: Beta distribution and associated Stirling numbers of the second kind https://arxiv.org/abs/2601.08453 https://arxiv.org/pdf/2601.08453 https://arxiv.org/html/2601.08453
Reposted by arXiv math.ST Statistics Theory
J\'er\'emie Bigot, Luis Fredes: Kantorovich Distance via Spanning Trees: Properties and Algorithms https://arxiv.org/abs/2601.08396 https://arxiv.org/pdf/2601.08396 https://arxiv.org/html/2601.08396
January 14, 2026 at 6:40 AM
J\'er\'emie Bigot, Luis Fredes: Kantorovich Distance via Spanning Trees: Properties and Algorithms https://arxiv.org/abs/2601.08396 https://arxiv.org/pdf/2601.08396 https://arxiv.org/html/2601.08396
Reposted by arXiv math.ST Statistics Theory
Howard C. Gifford: Likelihood ratio for a binary Bayesian classifier under a noise-exclusion model https://arxiv.org/abs/2601.07982 https://arxiv.org/pdf/2601.07982 https://arxiv.org/html/2601.07982
January 14, 2026 at 6:31 AM
Howard C. Gifford: Likelihood ratio for a binary Bayesian classifier under a noise-exclusion model https://arxiv.org/abs/2601.07982 https://arxiv.org/pdf/2601.07982 https://arxiv.org/html/2601.07982
Reposted by arXiv math.ST Statistics Theory
Wai Leong Ng, Xinyi Tang, Mun Lau Cheung, Jiacheng Gao, Chun Yip Yau, Holger Dette: Inference for Multiple Change-points in Piecewise Locally Stationary Time Series https://arxiv.org/abs/2601.07400 https://arxiv.org/pdf/2601.07400 https://arxiv.org/html/2601.07400
January 13, 2026 at 6:53 AM
Wai Leong Ng, Xinyi Tang, Mun Lau Cheung, Jiacheng Gao, Chun Yip Yau, Holger Dette: Inference for Multiple Change-points in Piecewise Locally Stationary Time Series https://arxiv.org/abs/2601.07400 https://arxiv.org/pdf/2601.07400 https://arxiv.org/html/2601.07400
Tameem Adel, Abhishek Agarwal, St\'ephane Chr\'etien, Estelle Massart, Danila Mokeev, Ivan Rungger, Andrew Thompson: A Langevin sampler for quantum tomography https://arxiv.org/abs/2601.08775 https://arxiv.org/pdf/2601.08775 https://arxiv.org/html/2601.08775
January 14, 2026 at 6:41 AM
Tameem Adel, Abhishek Agarwal, St\'ephane Chr\'etien, Estelle Massart, Danila Mokeev, Ivan Rungger, Andrew Thompson: A Langevin sampler for quantum tomography https://arxiv.org/abs/2601.08775 https://arxiv.org/pdf/2601.08775 https://arxiv.org/html/2601.08775
Markus Rei{\ss}, Lars Winkelmann: Rank tests for time-varying covariance matrices observed under noise https://arxiv.org/abs/2601.08353 https://arxiv.org/pdf/2601.08353 https://arxiv.org/html/2601.08353
January 14, 2026 at 6:41 AM
Markus Rei{\ss}, Lars Winkelmann: Rank tests for time-varying covariance matrices observed under noise https://arxiv.org/abs/2601.08353 https://arxiv.org/pdf/2601.08353 https://arxiv.org/html/2601.08353
Damjana Kokol Bukov\v{s}ek, Petra Lazi\'c, Bla\v{z} Moj\v{s}kerc, Nik Stopar: The exact region determined by Spearman's footrule, Gini's gamma and Kendall's tau https://arxiv.org/abs/2601.07993 https://arxiv.org/pdf/2601.07993 https://arxiv.org/html/2601.07993
January 14, 2026 at 6:41 AM
Damjana Kokol Bukov\v{s}ek, Petra Lazi\'c, Bla\v{z} Moj\v{s}kerc, Nik Stopar: The exact region determined by Spearman's footrule, Gini's gamma and Kendall's tau https://arxiv.org/abs/2601.07993 https://arxiv.org/pdf/2601.07993 https://arxiv.org/html/2601.07993
[2026-01-14 Wed (UTC), 3 new articles found for mathST Statistics Theory]
January 14, 2026 at 6:41 AM
[2026-01-14 Wed (UTC), 3 new articles found for mathST Statistics Theory]
Reposted by arXiv math.ST Statistics Theory
Samuel Duffield: A Complete Decomposition of Stochastic Differential Equations https://arxiv.org/abs/2601.07834 https://arxiv.org/pdf/2601.07834 https://arxiv.org/html/2601.07834
January 13, 2026 at 6:40 AM
Samuel Duffield: A Complete Decomposition of Stochastic Differential Equations https://arxiv.org/abs/2601.07834 https://arxiv.org/pdf/2601.07834 https://arxiv.org/html/2601.07834
Reposted by arXiv math.ST Statistics Theory
Masahiro Kato: Riesz Representer Fitting under Bregman Divergence: A Unified Framework for Debiased Machine Learning https://arxiv.org/abs/2601.07752 https://arxiv.org/pdf/2601.07752 https://arxiv.org/html/2601.07752
January 13, 2026 at 6:35 AM
Masahiro Kato: Riesz Representer Fitting under Bregman Divergence: A Unified Framework for Debiased Machine Learning https://arxiv.org/abs/2601.07752 https://arxiv.org/pdf/2601.07752 https://arxiv.org/html/2601.07752
Reposted by arXiv math.ST Statistics Theory
Roberto Fontana, Elisa Perrone, Fabio Rapallo: Characterization of multi-way binary tables with uniform margins and fixed correlations https://arxiv.org/abs/2601.07369 https://arxiv.org/pdf/2601.07369 https://arxiv.org/html/2601.07369
January 13, 2026 at 6:53 AM
Roberto Fontana, Elisa Perrone, Fabio Rapallo: Characterization of multi-way binary tables with uniform margins and fixed correlations https://arxiv.org/abs/2601.07369 https://arxiv.org/pdf/2601.07369 https://arxiv.org/html/2601.07369
Reposted by arXiv math.ST Statistics Theory
EL Mahdi Khribch, Pierre Alquier: Variational Approximations for Robust Bayesian Inference via Rho-Posteriors https://arxiv.org/abs/2601.07325 https://arxiv.org/pdf/2601.07325 https://arxiv.org/html/2601.07325
January 13, 2026 at 6:53 AM
EL Mahdi Khribch, Pierre Alquier: Variational Approximations for Robust Bayesian Inference via Rho-Posteriors https://arxiv.org/abs/2601.07325 https://arxiv.org/pdf/2601.07325 https://arxiv.org/html/2601.07325
Reposted by arXiv math.ST Statistics Theory
Yiran Jia: Multi-environment Invariance Learning with Missing Data https://arxiv.org/abs/2601.07247 https://arxiv.org/pdf/2601.07247 https://arxiv.org/html/2601.07247
January 13, 2026 at 6:53 AM
Yiran Jia: Multi-environment Invariance Learning with Missing Data https://arxiv.org/abs/2601.07247 https://arxiv.org/pdf/2601.07247 https://arxiv.org/html/2601.07247
Reposted by arXiv math.ST Statistics Theory
Satyaki Mukherjee, Vilas Winstein: Approximate FKG inequalities for phase-bound spin systems https://arxiv.org/abs/2601.07169 https://arxiv.org/pdf/2601.07169 https://arxiv.org/html/2601.07169
January 13, 2026 at 6:40 AM
Satyaki Mukherjee, Vilas Winstein: Approximate FKG inequalities for phase-bound spin systems https://arxiv.org/abs/2601.07169 https://arxiv.org/pdf/2601.07169 https://arxiv.org/html/2601.07169