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Reposted by arXiv math.ST Statistics Theory
Yechan Park, Xiaodong Yang: Decomposition of Spillover Effects Under Misspecification:Pseudo-true Estimands and a Local--Global Extension https://arxiv.org/abs/2602.12023 https://arxiv.org/pdf/2602.12023 https://arxiv.org/html/2602.12023
February 13, 2026 at 6:35 AM
Yechan Park, Xiaodong Yang: Decomposition of Spillover Effects Under Misspecification:Pseudo-true Estimands and a Local--Global Extension https://arxiv.org/abs/2602.12023 https://arxiv.org/pdf/2602.12023 https://arxiv.org/html/2602.12023
Reposted by arXiv math.ST Statistics Theory
Aniket Biswas, Aaditya Ramdas: Improving the adjusted Benjamini--Hochberg method using e-values in knockoff-assisted variable selection https://arxiv.org/abs/2602.11610 https://arxiv.org/pdf/2602.11610 https://arxiv.org/html/2602.11610
February 13, 2026 at 6:53 AM
Aniket Biswas, Aaditya Ramdas: Improving the adjusted Benjamini--Hochberg method using e-values in knockoff-assisted variable selection https://arxiv.org/abs/2602.11610 https://arxiv.org/pdf/2602.11610 https://arxiv.org/html/2602.11610
Reposted by arXiv math.ST Statistics Theory
Ziqi Liu, Ye Tian, Weijing Tang: Representation Learning with Blockwise Missingness and Signal Heterogeneity https://arxiv.org/abs/2602.11511 https://arxiv.org/pdf/2602.11511 https://arxiv.org/html/2602.11511
February 13, 2026 at 6:53 AM
Ziqi Liu, Ye Tian, Weijing Tang: Representation Learning with Blockwise Missingness and Signal Heterogeneity https://arxiv.org/abs/2602.11511 https://arxiv.org/pdf/2602.11511 https://arxiv.org/html/2602.11511
Pierre Monmarch\'e: General-purpose post-sampling reweighting method for multimodal target measures https://arxiv.org/abs/2602.12027 https://arxiv.org/pdf/2602.12027 https://arxiv.org/html/2602.12027
February 13, 2026 at 6:41 AM
Pierre Monmarch\'e: General-purpose post-sampling reweighting method for multimodal target measures https://arxiv.org/abs/2602.12027 https://arxiv.org/pdf/2602.12027 https://arxiv.org/html/2602.12027
Paul Liautaud (SU, LPSM), Pierre Gaillard (LJK), Olivier Wintenberger (SU, LPSM): High-Probability Minimax Adaptive Estimation in Besov Spaces via Online-to-Batch https://arxiv.org/abs/2602.11747 https://arxiv.org/pdf/2602.11747 https://arxiv.org/html/2602.11747
February 13, 2026 at 6:41 AM
Paul Liautaud (SU, LPSM), Pierre Gaillard (LJK), Olivier Wintenberger (SU, LPSM): High-Probability Minimax Adaptive Estimation in Besov Spaces via Online-to-Batch https://arxiv.org/abs/2602.11747 https://arxiv.org/pdf/2602.11747 https://arxiv.org/html/2602.11747
Kengo Kato, Boyu Wang: Entropic vector quantile regression: Duality and Gaussian case https://arxiv.org/abs/2602.11290 https://arxiv.org/pdf/2602.11290 https://arxiv.org/html/2602.11290
February 13, 2026 at 6:41 AM
Kengo Kato, Boyu Wang: Entropic vector quantile regression: Duality and Gaussian case https://arxiv.org/abs/2602.11290 https://arxiv.org/pdf/2602.11290 https://arxiv.org/html/2602.11290
[2026-02-13 Fri (UTC), 3 new articles found for mathST Statistics Theory]
February 13, 2026 at 6:41 AM
[2026-02-13 Fri (UTC), 3 new articles found for mathST Statistics Theory]
Reposted by arXiv math.ST Statistics Theory
Antti Hippel\"ainen: Formalization and inevitability of the Pareto principle https://arxiv.org/abs/2602.11131 https://arxiv.org/pdf/2602.11131 https://arxiv.org/html/2602.11131
February 12, 2026 at 6:49 AM
Antti Hippel\"ainen: Formalization and inevitability of the Pareto principle https://arxiv.org/abs/2602.11131 https://arxiv.org/pdf/2602.11131 https://arxiv.org/html/2602.11131
Reposted by arXiv math.ST Statistics Theory
Andreas G\"obel, Marcus Pappik, Leon Schiller: Information-Theoretic Thresholds for Bipartite Latent-Space Graphs Under Noisy Observations https://arxiv.org/abs/2602.11129 https://arxiv.org/pdf/2602.11129 https://arxiv.org/html/2602.11129
February 12, 2026 at 6:40 AM
Andreas G\"obel, Marcus Pappik, Leon Schiller: Information-Theoretic Thresholds for Bipartite Latent-Space Graphs Under Noisy Observations https://arxiv.org/abs/2602.11129 https://arxiv.org/pdf/2602.11129 https://arxiv.org/html/2602.11129
Reposted by arXiv math.ST Statistics Theory
Hank Flury, Jan Hannig, Richard Smith: Constrained Fiducial Inference for Gaussian Models https://arxiv.org/abs/2602.11080 https://arxiv.org/pdf/2602.11080 https://arxiv.org/html/2602.11080
February 12, 2026 at 6:53 AM
Hank Flury, Jan Hannig, Richard Smith: Constrained Fiducial Inference for Gaussian Models https://arxiv.org/abs/2602.11080 https://arxiv.org/pdf/2602.11080 https://arxiv.org/html/2602.11080
Reposted by arXiv math.ST Statistics Theory
Hilde Vinje, Lars Erik Gangsei: A closed form solution for Bayesian analysis of a simple linear mixed model https://arxiv.org/abs/2602.10730 https://arxiv.org/pdf/2602.10730 https://arxiv.org/html/2602.10730
February 12, 2026 at 6:53 AM
Hilde Vinje, Lars Erik Gangsei: A closed form solution for Bayesian analysis of a simple linear mixed model https://arxiv.org/abs/2602.10730 https://arxiv.org/pdf/2602.10730 https://arxiv.org/html/2602.10730
Reposted by arXiv math.ST Statistics Theory
Miao Lu, Yuxuan Han, Han Zhong, Zhengyuan Zhou, Jose Blanchet: Robust Assortment Optimization from Observational Data https://arxiv.org/abs/2602.10696 https://arxiv.org/pdf/2602.10696 https://arxiv.org/html/2602.10696
February 12, 2026 at 6:53 AM
Miao Lu, Yuxuan Han, Han Zhong, Zhengyuan Zhou, Jose Blanchet: Robust Assortment Optimization from Observational Data https://arxiv.org/abs/2602.10696 https://arxiv.org/pdf/2602.10696 https://arxiv.org/html/2602.10696
Reposted by arXiv math.ST Statistics Theory
Justin Whitehouse, Ayush Sawarni, Vasilis Syrgkanis: Statistical Inference and Learning for Shapley Additive Explanations (SHAP) https://arxiv.org/abs/2602.10532 https://arxiv.org/pdf/2602.10532 https://arxiv.org/html/2602.10532
February 12, 2026 at 6:53 AM
Justin Whitehouse, Ayush Sawarni, Vasilis Syrgkanis: Statistical Inference and Learning for Shapley Additive Explanations (SHAP) https://arxiv.org/abs/2602.10532 https://arxiv.org/pdf/2602.10532 https://arxiv.org/html/2602.10532
Reposted by arXiv math.ST Statistics Theory
Soham Bakshi, Sunrit Chakraborty: From Collapse to Improvement: Statistical Perspectives on the Evolutionary Dynamics of Iterative Training on Contaminated Sources https://arxiv.org/abs/2602.10531 https://arxiv.org/pdf/2602.10531 https://arxiv.org/html/2602.10531
February 12, 2026 at 6:53 AM
Soham Bakshi, Sunrit Chakraborty: From Collapse to Improvement: Statistical Perspectives on the Evolutionary Dynamics of Iterative Training on Contaminated Sources https://arxiv.org/abs/2602.10531 https://arxiv.org/pdf/2602.10531 https://arxiv.org/html/2602.10531
Reposted by arXiv math.ST Statistics Theory
Xiucai Ding, Chao Shen, Hau-Tieng Wu: Generalized Robust Adaptive-Bandwidth Multi-View Manifold Learning in High Dimensions with Noise https://arxiv.org/abs/2602.10530 https://arxiv.org/pdf/2602.10530 https://arxiv.org/html/2602.10530
February 12, 2026 at 6:53 AM
Xiucai Ding, Chao Shen, Hau-Tieng Wu: Generalized Robust Adaptive-Bandwidth Multi-View Manifold Learning in High Dimensions with Noise https://arxiv.org/abs/2602.10530 https://arxiv.org/pdf/2602.10530 https://arxiv.org/html/2602.10530
Jyotishka Datta, Nicholas G. Polson, Vadim Sokolov, Daniel Zantedeschi: A New Look at Bayesian Testing https://arxiv.org/abs/2602.11132 https://arxiv.org/pdf/2602.11132 https://arxiv.org/html/2602.11132
February 12, 2026 at 6:41 AM
Jyotishka Datta, Nicholas G. Polson, Vadim Sokolov, Daniel Zantedeschi: A New Look at Bayesian Testing https://arxiv.org/abs/2602.11132 https://arxiv.org/pdf/2602.11132 https://arxiv.org/html/2602.11132
Yifan Chen, Eric Vanden-Eijnden: Variational Optimality of F\"ollmer Processes in Generative Diffusions https://arxiv.org/abs/2602.10989 https://arxiv.org/pdf/2602.10989 https://arxiv.org/html/2602.10989
February 12, 2026 at 6:41 AM
Yifan Chen, Eric Vanden-Eijnden: Variational Optimality of F\"ollmer Processes in Generative Diffusions https://arxiv.org/abs/2602.10989 https://arxiv.org/pdf/2602.10989 https://arxiv.org/html/2602.10989
Ilaria Nadin, Tatyana Krivobokova, Farida Enikeeva: Nonparametric two sample test of spectral densities https://arxiv.org/abs/2602.10774 https://arxiv.org/pdf/2602.10774 https://arxiv.org/html/2602.10774
February 12, 2026 at 6:41 AM
Ilaria Nadin, Tatyana Krivobokova, Farida Enikeeva: Nonparametric two sample test of spectral densities https://arxiv.org/abs/2602.10774 https://arxiv.org/pdf/2602.10774 https://arxiv.org/html/2602.10774
Zhang Li-Xin: Covariate-Adaptive Randomization in Clinical Trials Without Inflated Variances https://arxiv.org/abs/2602.10760 https://arxiv.org/pdf/2602.10760 https://arxiv.org/html/2602.10760
February 12, 2026 at 6:41 AM
Zhang Li-Xin: Covariate-Adaptive Randomization in Clinical Trials Without Inflated Variances https://arxiv.org/abs/2602.10760 https://arxiv.org/pdf/2602.10760 https://arxiv.org/html/2602.10760
Chandrasekhar Gokavarapu, Sekhar Babu Gosala, Vamis Pasalapudi, Tarakarama Kapakayala: Finite-sample confidence regions for spectral clustering and graph centrality https://arxiv.org/abs/2602.10566 https://arxiv.org/pdf/2602.10566 https://arxiv.org/html/2602.10566
February 12, 2026 at 6:41 AM
Chandrasekhar Gokavarapu, Sekhar Babu Gosala, Vamis Pasalapudi, Tarakarama Kapakayala: Finite-sample confidence regions for spectral clustering and graph centrality https://arxiv.org/abs/2602.10566 https://arxiv.org/pdf/2602.10566 https://arxiv.org/html/2602.10566
Shirong Xu, Will Wei Sun: Do More Predictions Improve Statistical Inference? Filtered Prediction-Powered Inference https://arxiv.org/abs/2602.10464 https://arxiv.org/pdf/2602.10464 https://arxiv.org/html/2602.10464
February 12, 2026 at 6:41 AM
Shirong Xu, Will Wei Sun: Do More Predictions Improve Statistical Inference? Filtered Prediction-Powered Inference https://arxiv.org/abs/2602.10464 https://arxiv.org/pdf/2602.10464 https://arxiv.org/html/2602.10464
Moritz Jirak, Alexander Meister, Angelika Rohde: Asymptotic equivalence for nonparametric additive regression https://arxiv.org/abs/2602.10274 https://arxiv.org/pdf/2602.10274 https://arxiv.org/html/2602.10274
February 12, 2026 at 6:41 AM
Moritz Jirak, Alexander Meister, Angelika Rohde: Asymptotic equivalence for nonparametric additive regression https://arxiv.org/abs/2602.10274 https://arxiv.org/pdf/2602.10274 https://arxiv.org/html/2602.10274
Victor-Emmanuel Brunel: Bernstein-von Mises theorem for log-concave posteriors https://arxiv.org/abs/2602.10256 https://arxiv.org/pdf/2602.10256 https://arxiv.org/html/2602.10256
February 12, 2026 at 6:41 AM
Victor-Emmanuel Brunel: Bernstein-von Mises theorem for log-concave posteriors https://arxiv.org/abs/2602.10256 https://arxiv.org/pdf/2602.10256 https://arxiv.org/html/2602.10256
[2026-02-12 Thu (UTC), 8 new articles found for mathST Statistics Theory]
February 12, 2026 at 6:41 AM
[2026-02-12 Thu (UTC), 8 new articles found for mathST Statistics Theory]
Reposted by arXiv math.ST Statistics Theory
Mingyi Zheng, Ying Jin: Online Selective Conformal Prediction with Asymmetric Rules: A Permutation Test Approach https://arxiv.org/abs/2602.10018 https://arxiv.org/pdf/2602.10018 https://arxiv.org/html/2602.10018
February 11, 2026 at 6:53 AM
Mingyi Zheng, Ying Jin: Online Selective Conformal Prediction with Asymmetric Rules: A Permutation Test Approach https://arxiv.org/abs/2602.10018 https://arxiv.org/pdf/2602.10018 https://arxiv.org/html/2602.10018