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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Toshiyuki Shimono: Reading Multiple Regression from an Ellipsoid Inscribed in the Unit Hypercube arxiv.org/abs/2610.06536 arxiv.org/pdf/2610.06536 arxiv.org/html/2610.06536

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Luca Benetti, Gianluca Baio, Anna Heath: Calculating the Expected Value of Sample Information for Observational Studies affected by Confounding arxiv.org/abs/2610.06377 arxiv.org/pdf/2610.06377 arxiv.org/html/2610.06377

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Glenn Shafer: On the nineteenth-century origins of significance testing and p-hacking arxiv.org/abs/2610.06233 arxiv.org/pdf/2610.06233 arxiv.org/html/2610.06233

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Ping Zhao, Dan Zhuang: Cauchy-Aggregated Ridge Tests for High-Dimensional Factor Pricing Models arxiv.org/abs/2610.06112 arxiv.org/pdf/2610.06112 arxiv.org/html/2610.06112

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Corinna Perchtold, J\'er\'emy Rohmer, Augustin Thomas, Julie Lions: Which modelling choices shape your interpolation map? An Optimal Transport sensitivity analysis for groundwater sulfate con... arxiv.org/abs/2610.06101 arxiv.org/pdf/2610.06101 arxiv.org/html/2610.06101

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Siliang Zhang, Yunxiao Chen, Irini Moustaki: DAG-CLIP: A DAG Learning Framework in the Presence of Latent Variables arxiv.org/abs/2610.06086 arxiv.org/pdf/2610.06086 arxiv.org/html/2610.06086

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Sebasti\'an Calcetero Vanegas, Ian Weng Chan: A Dirichlet Mixed-Membership Model for Exact Multivariate Distributional Credibility arxiv.org/abs/2610.05741 arxiv.org/pdf/2610.05741 arxiv.org/html/2610.05741

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Davood Tofighi: Dimension Reduction for the Trivariate Normal Product Distribution: An Efficient Numerical Algorithm via Conditional Expectation arxiv.org/abs/2610.05738 arxiv.org/pdf/2610.05738 arxiv.org/html/2610.05738

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Bo Fu, Dandan Jiang: Minimax and Adaptive Transfer Learning for Sparse Canonical Correlation Analysis arxiv.org/abs/2610.05735 arxiv.org/pdf/2610.05735 arxiv.org/html/2610.05735

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Ruoyu Wang, Zijian Xu, Zijian Guo, Xihong Liu, Molei Liu: Instrumental Variable Analysis in Underrepresented Subpopulations Powered by Knowledge Transfer arxiv.org/abs/2610.05680 arxiv.org/pdf/2610.05680 arxiv.org/html/2610.05680

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Hong Kiat Tan, Isaac-Neil Zanoria, James Chen, Haoyang Lyu, Mihai Cucuringu: Causal Lag Structure Discovery in Confounded Time Series via Orthogonalized Adaptive Estimation arxiv.org/abs/2610.05618 arxiv.org/pdf/2610.05618 arxiv.org/html/2610.05618

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Rok Spruk: Synthetic Control under Out-of-Span Common Shocks: Diagnosis, Exposure Balance and Correction arxiv.org/abs/2610.05535 arxiv.org/pdf/2610.05535 arxiv.org/html/2610.05535

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Lingli Yang, Bingxia Wang, Tian Chen, Han Zhu, Xuzhi Wang: Direct Learning of Treatment-Benefit Rankings for Restricted Mean Survival Time in Randomized Trials with Censoring arxiv.org/abs/2610.05522 arxiv.org/pdf/2610.05522 arxiv.org/html/2610.05522

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Jos\'e R. Berrendero, Antonio Co\'in, Antonio Cuevas: A Bayesian One-Sample Test for the Mean of Functional Data arxiv.org/abs/2610.05512 arxiv.org/pdf/2610.05512 arxiv.org/html/2610.05512

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Jieqi Tu, Ruitao Lin, Ayon Mukherjee: PKComb-BOIN12: A Pharmacokinetically Guided Bayesian Design for Dose Optimisation in Oncology Drug-Combination Trials arxiv.org/abs/2610.05477 arxiv.org/pdf/2610.05477 arxiv.org/html/2610.05477

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Justin T. Greene, Tirthankar Dasgupta: Variance Estimation Under Local Pivotal Methods arxiv.org/abs/2610.05464 arxiv.org/pdf/2610.05464 arxiv.org/html/2610.05464

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Jaehee Seo, Kwangho Kim, Jisu Kim: Semi-Supervised Kernel Ridge Fr\'echet Regression arxiv.org/abs/2610.05388 arxiv.org/pdf/2610.05388 arxiv.org/html/2610.05388

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Oluwatosin Bamidele Fajana, Ricardo S. Ehlers, Marinho G. Andrade: Bayesian Reconciliation of Overlapping Multi-Step Forecasts: A Post-Processing Framework for Cross-Origin Coherence arxiv.org/abs/2610.05340 arxiv.org/pdf/2610.05340 arxiv.org/html/2610.05340

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Beniamino Cappelletti-Montano; Monica Musio; Nicola Piras: Regression models for ordinal compositional data arxiv.org/abs/2610.05212 arxiv.org/pdf/2610.05212 arxiv.org/html/2610.05212

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Yicheng Qi, Xiyi Xiong: Same Predictions, Different Harms: Causal Auditing of Patient World Models arxiv.org/abs/2610.05198 arxiv.org/pdf/2610.05198 arxiv.org/html/2610.05198

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Eric J. Tchetgen Tchetgen: What does two-sample Mendelian randomization estimate when the exposure-outcome relationship is nonlinear? arxiv.org/abs/2610.05134 arxiv.org/pdf/2610.05134 arxiv.org/html/2610.05134

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Yuan-Fan ZHAO, Yikai GUO, Xun-Jian LI, Man-Lai TANG, Guo-Liang TIAN: A new Bernstein-binomial model for fitting finite discrete data with over-dispersion: Likelihood-based and Bayesian approa... arxiv.org/abs/2610.04964 arxiv.org/pdf/2610.04964 arxiv.org/html/2610.04964

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Xuanyu Chen, Xiaoyue Niu, Gongjun Xu, Ji Zhu: Noisy Matrix Completion under Informative Missingness arxiv.org/abs/2610.04859 arxiv.org/pdf/2610.04859 arxiv.org/html/2610.04859

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Curtis McDonald, Kevin Rojas, Molei Tao, Peter Bartlett: Improving score-based sampling via affine post-processing arxiv.org/abs/2610.04773 arxiv.org/pdf/2610.04773 arxiv.org/html/2610.04773

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Oskar Gustafsson, Mattias Villani: Log predictive density score estimation in the presence of outliers arxiv.org/abs/2610.04748 arxiv.org/pdf/2610.04748 arxiv.org/html/2610.04748

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Theodoros Evrenogou, Anna Chaimani, Gerta R\"ucker, Guido Schwarzer: Identifying compromise solutions across multiple treatment benefit-harm profiles in multivariate network meta-analysis arxiv.org/abs/2610.04711 arxiv.org/pdf/2610.04711 arxiv.org/html/2610.04711

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Fabian Scheipl: Estimation and inference in penalized function-on-function regression with dependent residual curves arxiv.org/abs/2610.04677 arxiv.org/pdf/2610.04677 arxiv.org/html/2610.04677

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Zhiyun Fan, Xiaoyu Zhang, Guodong Li, Di Wang: Personalized Federated Vector Autoregression with Personalization Diversity arxiv.org/abs/2610.04474 arxiv.org/pdf/2610.04474 arxiv.org/html/2610.04474

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Ping Zhao, Long Feng, Xiaoyi Wang: Cauchy-Combined Hettmansperger-Randles Location Tests in High Dimensions arxiv.org/abs/2610.04251 arxiv.org/pdf/2610.04251 arxiv.org/html/2610.04251

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Bradley Rava, Bowen Gang: Neyman-Pearson Classification with Indecisions: Simultaneous Control of Selective Type I and Type II Errors arxiv.org/abs/2610.04233 arxiv.org/pdf/2610.04233 arxiv.org/html/2610.04233

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Matias Shedden, Karl Oskar Ekvall: Score-based confidence intervals for variance-covariance parameters in linear mixed models arxiv.org/abs/2610.04181 arxiv.org/pdf/2610.04181 arxiv.org/html/2610.04181

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Srijato Bhattacharyya, Huiyan Sang: Consistent Spatial Clustering of Complex Objects via Bregman Geometry arxiv.org/abs/2610.04166 arxiv.org/pdf/2610.04166 arxiv.org/html/2610.04166

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Zhejia Dong, Youjin Lee: Network-Constrained Matching and Randomization-Based Inference for Causal Effects arxiv.org/abs/2610.04102 arxiv.org/pdf/2610.04102 arxiv.org/html/2610.04102

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Carlos A. Martinez, Ronnal E. Ortiz, Nelson A. Cruz, Carmen H. Cepeda, Juan Sosa: On the sensitivity to hyperparameters of a Bayesian method to infer selection signatures arxiv.org/abs/2610.03987 arxiv.org/pdf/2610.03987 arxiv.org/html/2610.03987

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Andrew Davison, Owen G. Ward: Community Detection from Aggregated Relational Data: Identifiability and Spectral Recovery arxiv.org/abs/2610.03937 arxiv.org/pdf/2610.03937 arxiv.org/html/2610.03937

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Evgenii Kuriabov, Zhaoxue Tong, Jia Li: Co-Supervised Tree Synthesis for Interpretable Subgroup Identification and Honest Treatment Effect Inference in Randomized Trials arxiv.org/abs/2610.03927 arxiv.org/pdf/2610.03927 arxiv.org/html/2610.03927

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

Sanyou Wu, Ying Wei, Kaizheng Wang: Latent-driven Imputation and Forecasting for partially observed Time Series (LIFTS) arxiv.org/abs/2610.03916 arxiv.org/pdf/2610.03916 arxiv.org/html/2610.03916

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arXiv stat.ME Methodology @statme-bot.bsky.social · 19h

[2026-10-06 Tue (UTC), 39 new articles found for statME Methodology]

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arXiv stat.ME Methodology @statme-bot.bsky.social · 05/10/2026

Silvio C. Patricio: Does a mortality schedule need a Makeham term? Calibrating the likelihood-ratio test arxiv.org/abs/2610.03685 arxiv.org/pdf/2610.03685 arxiv.org/html/2610.03685

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arXiv stat.ME Methodology @statme-bot.bsky.social · 05/10/2026

Katarzyna Adamczyk-Chauvat, Madalina Deaconu, Sylwester Masny, Guillaume Kon Kam King: Bayesian Analysis of Covariate-Driven Hawkes Processes with Application in Plant Epidemiology arxiv.org/abs/2610.03189 arxiv.org/pdf/2610.03189 arxiv.org/html/2610.03189

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arXiv stat.ME Methodology @statme-bot.bsky.social · 05/10/2026

Arthur Daisomont, Fabio Centofanti, Mia Hubert: Cellwise, Blockwise, and Casewise Robust Multiblock PCA for Sustainable and Inclusive Wellbeing in the EU arxiv.org/abs/2610.03181 arxiv.org/pdf/2610.03181 arxiv.org/html/2610.03181

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arXiv stat.ME Methodology @statme-bot.bsky.social · 05/10/2026

Rose Baker: Psychometric Tests: Quantifying the Consequences of Low Reliability and Improving Reliability Estimation arxiv.org/abs/2610.03006 arxiv.org/pdf/2610.03006 arxiv.org/html/2610.03006

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arXiv stat.ME Methodology @statme-bot.bsky.social · 05/10/2026

Pulong Ma, Li Ma: A Residual Tree Gaussian Process Modeling Framework for High-Dimensional Data arxiv.org/abs/2610.02893 arxiv.org/pdf/2610.02893 arxiv.org/html/2610.02893

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arXiv stat.ME Methodology @statme-bot.bsky.social · 05/10/2026

Guodong Liu, Yanfei Kang, Ren Miao, Xiaoqian Wang: Efficient conformal prediction intervals for time series: Online PID-Expert aggregation arxiv.org/abs/2610.02777 arxiv.org/pdf/2610.02777 arxiv.org/html/2610.02777

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arXiv stat.ME Methodology @statme-bot.bsky.social · 05/10/2026

Xinyuan Chen: Randomization inference on cell effects under absorbing treatment onset arxiv.org/abs/2610.02556 arxiv.org/pdf/2610.02556 arxiv.org/html/2610.02556

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arXiv stat.ME Methodology @statme-bot.bsky.social · 05/10/2026

[2026-10-05 Mon (UTC), 7 new articles found for statME Methodology]

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arXiv stat.ME Methodology @statme-bot.bsky.social · 02/10/2026

Sarah E Robertson, Lan Wen, Lawson Ung, Jon A Steingrimsson, Issa J Dahabreh: Transportability methods for failure-time outcomes under assumptions for relative effect measures arxiv.org/abs/2610.02041 arxiv.org/pdf/2610.02041 arxiv.org/html/2610.02041

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