Zinsou Max Debaly, Jean-Francois Ethier, Michael H. Neumann, F\'elix Camirand Lemyre Learning Centre Partitions from Summaries https://arxiv.org/abs/2509.16337

Rui Jin, Cai Wu, Qiqi Deng Optimal and Efficient Sample Size Re-estimation: A Dynamic Cost Framework https://arxiv.org/abs/2509.16636

Emily Neo, Peter Radchenko, Bala Rajaratnam Large Scale Partial Correlation Screening with Uncertainty Quantification https://arxiv.org/abs/2509.17128

Andrew M. Raim, Kyle M. Irimata, James A. Livsey Self-Tuned Rejection Sampling within Gibbs and a Case Study in Small Area Estimation https://arxiv.org/abs/2509.17155

Prasenjit Ghosh, Anirban Bhattacharya, Debdeep Pati On Quantification of Borrowing of Information in Hierarchical Bayesian Models https://arxiv.org/abs/2509.17301

G\"ozde Sert, Abhishek Chakrabortty, Anirban Bhattacharya Bayesian Semi-supervised Inference via a Debiased Modeling Approach https://arxiv.org/abs/2509.17385

Kara E. Rudolph, Shodai Inose, Nicholas Williams, Ivan Diaz, Lucia Calderon, Jacqueline M. Torres, Marianthi-Anna Kioumourtzoglou Everything all at once: On choosing an estimand for multi-component environmental exposures https://arxiv.org/abs/2509.17960

Safaa K. Kadhem Covariance-Corrected WAIC for Bayesian Sequential Data Models https://arxiv.org/abs/2509.17980

Dunyao Xue, Mengyu Li, Cheng Meng, Jingyi Zhang Core-elements Subsampling for Alternating Least Squares https://arxiv.org/abs/2509.18024

Carlo Graziani, Marieme Ngom Kernel Model Validation: How To Do It, And Why You Should Care https://arxiv.org/abs/2509.15244

Viviana Carcaiso, Miguel de Carvalho, Ilaria Prosdocimi, Isadora Antoniano-Villalobos Bayesian Mixture Models for Heterogeneous Extremes https://arxiv.org/abs/2509.15359

Jeffrey Roskes KoMbine: Propagating Statistical and Systematic Errors to Kaplan--Meier Curves https://arxiv.org/abs/2509.15371

Yuchen Xu, George Michailidis Joint Learning of Panel VAR models with Low Rank and Sparse Structure https://arxiv.org/abs/2509.15402

Marina Bogomolov, Shinjini Nandi Leveraging the group structure of hypotheses for more powerful multiple testing with FDR control for the filtered rejection set https://arxiv.org/abs/2509.15444

Yuliang Xu, Kaixuan Luo, Li Ma A tree-based kernel for densities and its applications in clustering DNase-seq profiles https://arxiv.org/abs/2509.15480

Alexis Romero, Kyle Cranmer, Daniel Whiteson Efficient Estimation of Unfactorizable Systematic Uncertainties https://arxiv.org/abs/2509.15500

Xintong Ma, Dong Li, Howell Tong Modelling time series of counts with hysteresis https://arxiv.org/abs/2509.15508

Undral Byambadalai, Tomu Hirata, Tatsushi Oka, Shota Yasui Beyond the Average: Distributional Causal Inference under Imperfect Compliance https://arxiv.org/abs/2509.15594

Vaishnavi Pavithradas, Rajesh G Strong uniform consistency of nonparametric estimation for quantile-based entropy function under length-biased sampling https://arxiv.org/abs/2509.15734

Kuangnan Fang, Ruixuan Qin, Xinyan Fan Transfer learning under latent space model https://arxiv.org/abs/2509.15797

Yongchang Hui, Chijin Liu, Xiaojun Song Deep learning based doubly robust test for Granger causality https://arxiv.org/abs/2509.15798

Byeonghee Lee, Joonsung Kang Doubly Robust Estimation of Continuous Outcomes under Multiple Treatment Levels via GPS, CBPS, and Penalized Empirical Likelihood https://arxiv.org/abs/2509.15846

Michael Greenacre, Maurizio Vichi Bi-dendrograms for clustering the categories of a multivariate categorical data set https://arxiv.org/abs/2509.15939

Shubham Niphadkar, Siuli Mukhopadhyay Studying Optimal Designs for Multivariate Crossover Trials https://arxiv.org/abs/2509.16076

Maren Casfor, Philipp Trunschke, Sebastian Heidenreich, Nando Hegemann Estimating systematic errors in Bayesian inversion using transport maps https://arxiv.org/abs/2509.16116

Marco Mingione, Pierfrancesco Alaimo Di Loro, Francesco Lagona, Antonello Maruotti Environmental Risk Assessment via Nonhomogeneous Hidden Semi-Markov Models with Penalized Vector Auto-Regression https://arxiv.org/abs/2509.14387

Yiming Wang, Yi Liu, Shu Yang Rate doubly robust estimation for weighted average treatment effects https://arxiv.org/abs/2509.14502

Yujie Zhao A Review of Statistical Methods for Handling Nonignorable Missing Data using Instrument Approach https://arxiv.org/abs/2509.14520

Siyan Liu, Yukun Liu, Qinglong Tian, Pengfei Li, Jing Qin Semiparametric Learning from Open-Set Label Shift Data https://arxiv.org/abs/2509.14522

Jeffrey Zhang, Zhe Chen, Katherine R. Courtright, Scott D. Halpern, Michael O. Harhay, Dylan S. Small, Fan Li Randomization inference for stepped-wedge designs with noncompliance with application to a palliative care pragmatic trial https://arxiv.org/abs/2509.14598

Logan Harris, Patrick Breheny Alternative Likelihood Approximations for High-Dimensional Intervals for Lasso https://arxiv.org/abs/2509.14971

Zefan Liu, Natalia Nolde Modelling peaks over thresholds in panel data: a two-level grouped panel generalized Pareto regression https://arxiv.org/abs/2509.15023

Amardeep Legha, Joie Ensor, Rebecca Whittle, Lucinda Archer, Ben Van Calster, Evangelia Christodoulou, Kym I. E. Snell, ... Sequential sample size calculations and learning curves safeguard the robust development of a clinical prediction model for individuals https://arxiv.org/abs/2509.15134

Daniele Tancini, Riccardo Rastelli, Francesco Bartolucci Bayesian inference for spatio-temporal hidden Markov models using the exchange algorithm https://arxiv.org/abs/2509.15164

Faten Ben Said (CERMICS, EDF R\&D LNHE), Aur\'elien Alfonsi (CERMICS, MATHRISK), Anne Dutfoy (EDF R\&D PERICLES), ... A tree-based Polynomial Chaos expansion for surrogate modeling and sensitivity analysis of complex numerical models https://arxiv.org/abs/2509.13384

Sarah Zhao, Emmanuel Cand\`es Imputation-Powered Inference https://arxiv.org/abs/2509.13778

Yu Zhang, Bokui Wan, Yongli Qin Bridging Control Variates and Regression Adjustment in A/B Testing: From Design-Based to Model-Based Frameworks https://arxiv.org/abs/2509.13944

Tomasz M. {\L}api\'nski, Krzysztof Zi\'o{\l}kowski Ensembled Direct Multi Step forecasting methodology with comparison on macroeconomic and financial data https://arxiv.org/abs/2509.13945

Sean McGrath, Takuya Kawahara, Joshua Petimar, Sheryl L. Rifas-Shiman, Iv\'an D\'iaz, ... Time-smoothed inverse probability weighted estimation of effects of generalized time-varying treatment strategies on repeated outcomes truncated by death https://arxiv.org/abs/2509.13971

Menelaos Pavlou, Rumana Z. Omar, Gareth Ambler Sample Size Calculations for the Development of Risk Prediction Models that Account for Performance Variability https://arxiv.org/abs/2509.14028

Q. Le Coent, G. L. Rosner, M-C. Wang, C. Hu Index Date Imputation For Survival Outcomes for Externally Controlled Trials https://arxiv.org/abs/2509.14183

Peter Zhang, Brent Logan, Michael Martens Covariate-adjusted Group Sequential Comparisons of Restricted Mean Survival Times https://arxiv.org/abs/2509.14188

James Leiner, Robin Dunn, Aaditya Ramdas Adaptive Off-Policy Inference for M-Estimators Under Model Misspecification https://arxiv.org/abs/2509.14218

Iman Mohamed Attia New generalized unit distributions based on order statistics https://arxiv.org/abs/2509.12276

P. A. Koldanov, A. P. Koldanov Significant inference and confidence sets for graphical models https://arxiv.org/abs/2509.12292

Beidi Qiang, Edsel Pena System Reliability Estimation via Shrinkage https://arxiv.org/abs/2509.12420

Stef Baas, Lukas Pin, Sof\'ia S. Villar, William F. Rosenberger A computational method for type I error rate control in power-maximizing response-adaptive randomization https://arxiv.org/abs/2509.12448

Yael Travis-Lumer, Micha Mandel, Rebecca A. Betensky, Malka Gorfine Cox Regression on the Plane https://arxiv.org/abs/2509.12473

Ji Chen, Jun Shao Instrument, Variable and Model Selection with Nonignorable Nonresponse https://arxiv.org/abs/2509.12557

Wei Zhang, Qizhai Li, Peng Ding Inverse regression for causal inference with multiple outcomes https://arxiv.org/abs/2509.12587