arXiv Statistics @arxiv_stats@qoto.org

Plug-in estimation of Schr\"odinger bridges https://arxiv.org/abs/2408.11686 #stat.ML #math.OC #cs.LG

Constructive and consistent estimation of quadratic minimax https://arxiv.org/abs/2408.10218 #math.ST #math.PR #stat.TH

Can an unsupervised clustering algorithm reproduce a categorization system? https://arxiv.org/abs/2408.10340 #q-fin.ST #stat.ML #stat.AP #cs.LG

Efficient Reinforcement Learning in Probabilistic Reward Machines https://arxiv.org/abs/2408.10381 #stat.ML #cs.AI #cs.LG

Highly Multivariate High-dimensionality Spatial Stochastic Processes-A Mixed Conditional Approach https://arxiv.org/abs/2408.10396 #stat.ME #math.ST #stat.TH

Spatial Knockoff Bayesian Variable Selection in Genome-Wide Association Studies https://arxiv.org/abs/2408.10401 #stat.ME

Issues of parameterization and computation for posterior inference in partially identified models https://arxiv.org/abs/2408.10416 #stat.CO

On a fundamental difference between Bayesian and frequentist approaches to robustness https://arxiv.org/abs/2408.10478 #stat.ME

Asymptotic Classification Error for Heavy-Tailed Renewal Processes https://arxiv.org/abs/2408.10502 #stat.ML #math.ST #stat.TH #cs.LG

High-Dimensional Covariate-Augmented Overdispersed Multi-Study Poisson Factor Model https://arxiv.org/abs/2408.10542 #stat.ME

Multi-Attribute Preferences: A Transfer Learning Approach https://arxiv.org/abs/2408.10558 #stat.ME

Adaptive Uncertainty Quantification for Generative AI https://arxiv.org/abs/2408.08990 #stat.ME #stat.ML #cs.AI #cs.CL #cs.LG

A Confidence Interval for the $\ell_2$ Expected Calibration Error https://arxiv.org/abs/2408.08998 #stat.ML #cs.LG

Error Bounds for Learning Fourier Linear Operators https://arxiv.org/abs/2408.09004 #stat.ML #math.NA #cs.LG #cs.NA

Approximations to worst-case data dropping: unmasking failure modes https://arxiv.org/abs/2408.09008 #stat.ME #stat.CO

Autoregressive models for panel data causal inference with application to state-level opioid policies https://arxiv.org/abs/2408.09012 #stat.ME #stat.AP

[Invited Discussion] Randomization Tests to Address Disruptions in Clinical Trials: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions https://arxiv.org/abs/2408.09060 #stat.AP #stat.ME

Dynamic linear regression models for forecasting time series with semi long memory errors https://arxiv.org/abs/2408.09096 #stat.ME #stat.CO

Time Series Analysis by State Space Learning https://arxiv.org/abs/2408.09120 #stat.ML #cs.LG

Learning Robust Treatment Rules for Censored Data https://arxiv.org/abs/2408.09155 #stat.ME #math.ST #stat.CO #stat.ML #stat.TH