arXiv Statistics @arxiv_stats@qoto.org

A Two-armed Bandit Framework for A/B Testing https://arxiv.org/abs/2507.18118 #stat.ML #stat.AP #cs.LG

Regression approaches for modelling genotype-environment interaction and making predictions into unseen environments https://arxiv.org/abs/2507.18125 #stat.ME #stat.AP

Bounding Conditional Value-at-Risk via Auxiliary Distributions with Bounded Discrepancies https://arxiv.org/abs/2507.18129 #math.ST #stat.TH

Complex Dynamics in Psychological Data: Mapping Individual Symptom Trajectories to Group-Level Patterns https://arxiv.org/abs/2507.14161 #stat.AP #stat.ML #cs.LG

On the Testing of complete causal mediation and its applications https://arxiv.org/abs/2507.14246 #stat.ME #stat.AP

Hypothesis testing for quantitative trait locus effects in both location and scale in genetic backcross studies https://arxiv.org/abs/2507.14253 #stat.ME

A Statistician's Overview of Mechanistic-Informed Modeling https://arxiv.org/abs/2507.14336 #stat.ME

Distributed Kaplan-Meier Analysis via the Influence Function with Application to COVID-19 and COVID-19 Vaccine Adverse Events https://arxiv.org/abs/2507.14351 #stat.ME

A Hybrid Mixture Approach for Clustering and Characterizing Cancer Data https://arxiv.org/abs/2507.14380 #q-bio.TO #stat.ME #stat.AP #stat.CO #stat.ML

Regional compositional trajectories and structural change: A spatiotemporal multivariate autoregressive framework https://arxiv.org/abs/2507.14389 #stat.AP #econ.EM #math.ST #stat.ME #stat.TH

Policy relevance of causal quantities in networks https://arxiv.org/abs/2507.14391 #stat.ME #econ.EM

Bivariate generalized autoregressive models for forecasting bivariate non-Gaussian times series https://arxiv.org/abs/2507.14442 #stat.ME #math.ST #stat.AP #stat.TH

Statistical and Algorithmic Foundations of Reinforcement Learning https://arxiv.org/abs/2507.14444 #stat.ML #math.OC #math.ST #stat.TH #cs.AI #cs.LG

Differentially Private Conformal Prediction via Quantile Binary Search https://arxiv.org/abs/2507.12497 #stat.ME #stat.AP #stat.CO #stat.ML #cs.LG

Cross-World Assumption and Refining Prediction Intervals for Individual Treatment Effects https://arxiv.org/abs/2507.12581 #stat.ME #math.ST #stat.ML #stat.TH

A Bayesian Spatio-Temporal Model of Temperature- and Humidity-Related Mortality Using High-Resolution Climate Data https://arxiv.org/abs/2507.12643 #stat.AP

An Efficient Approach to Design Bayesian Platform Trials https://arxiv.org/abs/2507.12647 #stat.ME #math.ST #stat.TH

Physics constrained learning of stochastic characteristics https://arxiv.org/abs/2507.12661 #stat.ML #eess.SY #cs.LG #cs.SY

Finite-Dimensional Gaussian Approximation for Deep Neural Networks: Universality in Random Weights https://arxiv.org/abs/2507.12686 #stat.ML #math.PR #math.ST #stat.TH #cs.LG

Self Balancing Neural Network: A Novel Method to Estimate Average Treatment Effect https://arxiv.org/abs/2507.12818 #stat.ML #cs.LG