arXiv Statistics @arxiv_stats@qoto.org

Gerrymandering and geographic polarization have reduced electoral competition https://arxiv.org/abs/2508.15885 #stat.AP

Interpretable Kernels https://arxiv.org/abs/2508.15932 #stat.ML #cs.LG

Dynamic Graph-Based Forecasts of Bookmakers' Odds in Professional Tennis https://arxiv.org/abs/2508.15956 #stat.AP

Nonparametric regression for a circular response with error-in-covariate https://arxiv.org/abs/2508.15962 #stat.ME

Bayesimax Theory: Selecting Priors by Minimizing Total Information https://arxiv.org/abs/2508.15976 #math.ST #stat.TH

A nonstationary spatial model of PM2.5 with localized transfer learning from numerical model output https://arxiv.org/abs/2508.15978 #stat.AP #stat.CO #stat.ME

Comparing Malaria Trends in the Comoros Islands: ARIMA Modeling and Retrospective Analysis https://arxiv.org/abs/2508.16018 #stat.AP

Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning https://arxiv.org/abs/2508.16027 #stat.ML #cs.LG

Evaluation of Time Series Forecasting Models for Predicting Lung Cancer Mortality Rates in the United States: A Comparison with Altuhaifa (2023) Study https://arxiv.org/abs/2508.16052 #stat.AP

Quasi Instrumental Variable Methods for Stable Hidden Confounding and Binary Outcome https://arxiv.org/abs/2508.16096 #stat.ME

Ties, Tails and Spectra: On Rank-Based Dependency Measures in High Dimensions https://arxiv.org/abs/2508.14992 #math.ST #math.PR #stat.TH

Untangling Sample and Population Level Estimands in Bayesian Causal Inference https://arxiv.org/abs/2508.15016 #stat.ME

Sampling by averaging: A multiscale approach to score estimation https://arxiv.org/abs/2508.15069 #stat.CO #stat.ME #stat.ML

Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning https://arxiv.org/abs/2508.15084 #stat.ML #cs.LG

Generalized random forest for extreme quantile regression https://arxiv.org/abs/2508.15095 #stat.ME

Modeling pandemics https://arxiv.org/abs/2508.15125 #stat.AP

Simulating from marginal structural models for hazards, cause-specific hazards and subdistribution hazards using general copulas https://arxiv.org/abs/2508.15145 #stat.ME

A Unified Framework for Inference with General Missingness Patterns and Machine Learning Imputation https://arxiv.org/abs/2508.15162 #stat.ME #stat.ML

CSTEapp: An interactive R-Shiny application of the covariate-specific treatment effect curve for visualizing individualized treatment rule https://arxiv.org/abs/2508.15265 #stat.CO #stat.AP

Efficient sampling from a multivariate normal distribution subject to linear equality and inequality constraints https://arxiv.org/abs/2508.15292 #stat.CO #stat.AP