arXiv stat.ME Methodology
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[2025-12-26 Fri (UTC), no new articles found for statME Methodology]
December 26, 2025 at 6:58 AM
[2025-12-26 Fri (UTC), no new articles found for statME Methodology]
Reposted by arXiv stat.ME Methodology
Ben Chugg, Aaditya Ramdas: Closed-form empirical Bernstein confidence sequences for scalars and matrices https://arxiv.org/abs/2512.21300 https://arxiv.org/pdf/2512.21300 https://arxiv.org/html/2512.21300
December 25, 2025 at 6:41 AM
Ben Chugg, Aaditya Ramdas: Closed-form empirical Bernstein confidence sequences for scalars and matrices https://arxiv.org/abs/2512.21300 https://arxiv.org/pdf/2512.21300 https://arxiv.org/html/2512.21300
Reposted by arXiv stat.ME Methodology
Luo, Du, Tian, Xian, Specht, Wang, Bi, Fleming, Srinivasa, Kundu, Hong, Ding: Can Agentic AI Match the Performance of Human Data Scientists? https://arxiv.org/abs/2512.20959 https://arxiv.org/pdf/2512.20959 https://arxiv.org/html/2512.20959
December 25, 2025 at 6:33 AM
Luo, Du, Tian, Xian, Specht, Wang, Bi, Fleming, Srinivasa, Kundu, Hong, Ding: Can Agentic AI Match the Performance of Human Data Scientists? https://arxiv.org/abs/2512.20959 https://arxiv.org/pdf/2512.20959 https://arxiv.org/html/2512.20959
Reposted by arXiv stat.ME Methodology
Jonas Arruda, Niels Bracher, Ullrich K\"othe, Jan Hasenauer, Stefan T. Radev: Diffusion Models in Simulation-Based Inference: A Tutorial Review https://arxiv.org/abs/2512.20685 https://arxiv.org/pdf/2512.20685 https://arxiv.org/html/2512.20685
December 25, 2025 at 6:53 AM
Jonas Arruda, Niels Bracher, Ullrich K\"othe, Jan Hasenauer, Stefan T. Radev: Diffusion Models in Simulation-Based Inference: A Tutorial Review https://arxiv.org/abs/2512.20685 https://arxiv.org/pdf/2512.20685 https://arxiv.org/html/2512.20685
Yuyao Wang, Andrew Ying, Ronghui Xu: Proximal Survival Analysis for Dependent Left Truncation https://arxiv.org/abs/2512.21283 https://arxiv.org/pdf/2512.21283 https://arxiv.org/html/2512.21283
December 25, 2025 at 6:53 AM
Yuyao Wang, Andrew Ying, Ronghui Xu: Proximal Survival Analysis for Dependent Left Truncation https://arxiv.org/abs/2512.21283 https://arxiv.org/pdf/2512.21283 https://arxiv.org/html/2512.21283
Ankita Sharma, Partha Chakroborty, Pranamesh Chakraborty: Modeling gap acceptance behavior allowing for perceptual distortions and exogenous influences https://arxiv.org/abs/2512.21136 https://arxiv.org/pdf/2512.21136 https://arxiv.org/html/2512.21136
December 25, 2025 at 6:53 AM
Ankita Sharma, Partha Chakroborty, Pranamesh Chakraborty: Modeling gap acceptance behavior allowing for perceptual distortions and exogenous influences https://arxiv.org/abs/2512.21136 https://arxiv.org/pdf/2512.21136 https://arxiv.org/html/2512.21136
Jingyu Zhu, Daniel W. Apley: Measuring Variable Importance via Accumulated Local Effects https://arxiv.org/abs/2512.21124 https://arxiv.org/pdf/2512.21124 https://arxiv.org/html/2512.21124
December 25, 2025 at 6:53 AM
Jingyu Zhu, Daniel W. Apley: Measuring Variable Importance via Accumulated Local Effects https://arxiv.org/abs/2512.21124 https://arxiv.org/pdf/2512.21124 https://arxiv.org/html/2512.21124
Mohammed Saif Ismail Hameed, Eric D. Schoen, Jose Nunez Ares, Peter Goos: Two-level D- and A-optimal designs of Ehlich type with run sizes three more than a multiple of four https://arxiv.org/abs/2512.21060 https://arxiv.org/pdf/2512.21060 https://arxiv.org/html/2512.21060
December 25, 2025 at 6:53 AM
Mohammed Saif Ismail Hameed, Eric D. Schoen, Jose Nunez Ares, Peter Goos: Two-level D- and A-optimal designs of Ehlich type with run sizes three more than a multiple of four https://arxiv.org/abs/2512.21060 https://arxiv.org/pdf/2512.21060 https://arxiv.org/html/2512.21060
Jiarui Sun, Kaiyuan Liu, Xiao-Hua Zhou: A Unified Inference Method for FROC-type Curves and Related Summary Indices https://arxiv.org/abs/2512.20922 https://arxiv.org/pdf/2512.20922 https://arxiv.org/html/2512.20922
December 25, 2025 at 6:53 AM
Jiarui Sun, Kaiyuan Liu, Xiao-Hua Zhou: A Unified Inference Method for FROC-type Curves and Related Summary Indices https://arxiv.org/abs/2512.20922 https://arxiv.org/pdf/2512.20922 https://arxiv.org/html/2512.20922
Jasper B. Yang, Thomas Lumley, Bryan E. Shepherd, Pamela A. Shaw: Improving optimal subsampling through stratification https://arxiv.org/abs/2512.20837 https://arxiv.org/pdf/2512.20837 https://arxiv.org/html/2512.20837
December 25, 2025 at 6:53 AM
Jasper B. Yang, Thomas Lumley, Bryan E. Shepherd, Pamela A. Shaw: Improving optimal subsampling through stratification https://arxiv.org/abs/2512.20837 https://arxiv.org/pdf/2512.20837 https://arxiv.org/html/2512.20837
Jakub J. Pypkowski, Adam M. Sykulski, James S. Martin, Ben P. Marchant: The Whittle likelihood for mixed models with application to groundwater level time series https://arxiv.org/abs/2512.20810 https://arxiv.org/pdf/2512.20810 https://arxiv.org/html/2512.20810
December 25, 2025 at 6:53 AM
Jakub J. Pypkowski, Adam M. Sykulski, James S. Martin, Ben P. Marchant: The Whittle likelihood for mixed models with application to groundwater level time series https://arxiv.org/abs/2512.20810 https://arxiv.org/pdf/2512.20810 https://arxiv.org/html/2512.20810
[2025-12-25 Thu (UTC), 7 new articles found for statME Methodology]
December 25, 2025 at 6:53 AM
[2025-12-25 Thu (UTC), 7 new articles found for statME Methodology]
Reposted by arXiv stat.ME Methodology
Masahiro Kato: ScoreMatchingRiesz: Auto-DML with Infinitesimal Classification https://arxiv.org/abs/2512.20523 https://arxiv.org/pdf/2512.20523 https://arxiv.org/html/2512.20523
December 24, 2025 at 6:35 AM
Masahiro Kato: ScoreMatchingRiesz: Auto-DML with Infinitesimal Classification https://arxiv.org/abs/2512.20523 https://arxiv.org/pdf/2512.20523 https://arxiv.org/html/2512.20523
Reposted by arXiv stat.ME Methodology
Dianjun Lin, Bing Li, Lingzhou Xue: Structure-Preserving Nonlinear Sufficient Dimension Reduction for Tensors https://arxiv.org/abs/2512.20057 https://arxiv.org/pdf/2512.20057 https://arxiv.org/html/2512.20057
December 24, 2025 at 6:41 AM
Dianjun Lin, Bing Li, Lingzhou Xue: Structure-Preserving Nonlinear Sufficient Dimension Reduction for Tensors https://arxiv.org/abs/2512.20057 https://arxiv.org/pdf/2512.20057 https://arxiv.org/html/2512.20057
Reposted by arXiv stat.ME Methodology
Marios Papamichalis, Regina Ruane: CoLaS: Copula-Seeded Sparse Local Graphs with Tunable Assortativity, Persistent Clustering, and a Degree-Tail Dichotomy https://arxiv.org/abs/2512.20019 https://arxiv.org/pdf/2512.20019 https://arxiv.org/html/2512.20019
December 24, 2025 at 6:41 AM
Marios Papamichalis, Regina Ruane: CoLaS: Copula-Seeded Sparse Local Graphs with Tunable Assortativity, Persistent Clustering, and a Degree-Tail Dichotomy https://arxiv.org/abs/2512.20019 https://arxiv.org/pdf/2512.20019 https://arxiv.org/html/2512.20019
Reposted by arXiv stat.ME Methodology
Zhihan Huang, Ziang Niu: Semiparametric KSD test: unifying score and distance-based approaches for goodness-of-fit testing https://arxiv.org/abs/2512.20007 https://arxiv.org/pdf/2512.20007 https://arxiv.org/html/2512.20007
December 24, 2025 at 6:53 AM
Zhihan Huang, Ziang Niu: Semiparametric KSD test: unifying score and distance-based approaches for goodness-of-fit testing https://arxiv.org/abs/2512.20007 https://arxiv.org/pdf/2512.20007 https://arxiv.org/html/2512.20007
Reposted by arXiv stat.ME Methodology
Deepit Sapru: Guardrailed Uplift Targeting: A Causal Optimization Playbook for Marketing Strategy https://arxiv.org/abs/2512.19805 https://arxiv.org/pdf/2512.19805 https://arxiv.org/html/2512.19805
December 24, 2025 at 6:33 AM
Deepit Sapru: Guardrailed Uplift Targeting: A Causal Optimization Playbook for Marketing Strategy https://arxiv.org/abs/2512.19805 https://arxiv.org/pdf/2512.19805 https://arxiv.org/html/2512.19805
Filip Bo\v{c}inec, Stanislav Nagy, Hyemin Yeon: Projection depth for functional data: Theoretical properties https://arxiv.org/abs/2512.20452 https://arxiv.org/pdf/2512.20452 https://arxiv.org/html/2512.20452
December 24, 2025 at 6:53 AM
Filip Bo\v{c}inec, Stanislav Nagy, Hyemin Yeon: Projection depth for functional data: Theoretical properties https://arxiv.org/abs/2512.20452 https://arxiv.org/pdf/2512.20452 https://arxiv.org/html/2512.20452
Yonggwan Shin, Yire Shin, Jihong Park, Jeong-Soo Park: Generalized method of L-moment estimation for stationary and nonstationary extreme value models https://arxiv.org/abs/2512.20385 https://arxiv.org/pdf/2512.20385 https://arxiv.org/html/2512.20385
December 24, 2025 at 6:53 AM
Yonggwan Shin, Yire Shin, Jihong Park, Jeong-Soo Park: Generalized method of L-moment estimation for stationary and nonstationary extreme value models https://arxiv.org/abs/2512.20385 https://arxiv.org/pdf/2512.20385 https://arxiv.org/html/2512.20385
Bogdan \'Cmiel, Bart{\l}omiej Gibas: The post-hoc detection of dependence https://arxiv.org/abs/2512.20280 https://arxiv.org/pdf/2512.20280 https://arxiv.org/html/2512.20280
December 24, 2025 at 6:53 AM
Bogdan \'Cmiel, Bart{\l}omiej Gibas: The post-hoc detection of dependence https://arxiv.org/abs/2512.20280 https://arxiv.org/pdf/2512.20280 https://arxiv.org/html/2512.20280
Weihan Zhang, Zijun Gao: Estimation and Inference for Causal Explainability https://arxiv.org/abs/2512.20219 https://arxiv.org/pdf/2512.20219 https://arxiv.org/html/2512.20219
December 24, 2025 at 6:53 AM
Weihan Zhang, Zijun Gao: Estimation and Inference for Causal Explainability https://arxiv.org/abs/2512.20219 https://arxiv.org/pdf/2512.20219 https://arxiv.org/html/2512.20219
Yujia Gu, Lin Liu, Wei Ma: Assumption-lean covariate adjustment under covariate adaptive randomization when $p = o (n)$ https://arxiv.org/abs/2512.20046 https://arxiv.org/pdf/2512.20046 https://arxiv.org/html/2512.20046
December 24, 2025 at 6:53 AM
Yujia Gu, Lin Liu, Wei Ma: Assumption-lean covariate adjustment under covariate adaptive randomization when $p = o (n)$ https://arxiv.org/abs/2512.20046 https://arxiv.org/pdf/2512.20046 https://arxiv.org/html/2512.20046
Chaofeng Yuan, Sainan Xu, Xingbing Kong, Jianhua Guo: A Markov-switching dynamic matrix factor model for the high-dimensional matrix time series https://arxiv.org/abs/2512.20005 https://arxiv.org/pdf/2512.20005 https://arxiv.org/html/2512.20005
December 24, 2025 at 6:53 AM
Chaofeng Yuan, Sainan Xu, Xingbing Kong, Jianhua Guo: A Markov-switching dynamic matrix factor model for the high-dimensional matrix time series https://arxiv.org/abs/2512.20005 https://arxiv.org/pdf/2512.20005 https://arxiv.org/html/2512.20005
Yiming Ma, Hang Liu, Weiwei Zhuang: Multidimensional Stochastic Dominance Test Based on Center-outward Quantiles https://arxiv.org/abs/2512.19966 https://arxiv.org/pdf/2512.19966 https://arxiv.org/html/2512.19966
December 24, 2025 at 6:53 AM
Yiming Ma, Hang Liu, Weiwei Zhuang: Multidimensional Stochastic Dominance Test Based on Center-outward Quantiles https://arxiv.org/abs/2512.19966 https://arxiv.org/pdf/2512.19966 https://arxiv.org/html/2512.19966
Richard Tawiah, Shu Kay Ng, Geoffrey J. McLachlan: Variable selection in frailty mixture cure models via penalized likelihood estimation https://arxiv.org/abs/2512.19944 https://arxiv.org/pdf/2512.19944 https://arxiv.org/html/2512.19944
December 24, 2025 at 6:53 AM
Richard Tawiah, Shu Kay Ng, Geoffrey J. McLachlan: Variable selection in frailty mixture cure models via penalized likelihood estimation https://arxiv.org/abs/2512.19944 https://arxiv.org/pdf/2512.19944 https://arxiv.org/html/2512.19944