arXiv Statistics @arxiv_stats@qoto.org

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

Bayesian Modeling and Estimation of Linear Time-Variant Systems using Neural Networks and Gaussian Processes https://arxiv.org/abs/2507.12878 #stat.ML #cs.LG

Refining the Notion of No Anticipation in Difference-in-Differences Studies https://arxiv.org/abs/2507.12891 #stat.ME #econ.EM

Short-term CO2 emissions forecasting: insight from the Italian electricity market https://arxiv.org/abs/2507.12992 #stat.AP

Optimal estimators for threshold-based quality measures https://arxiv.org/abs/2507.08811 #math.ST #math.PR #stat.TH

Mapping Dengue Vulnerability in Recife, Brazil: Socioeconomic Insights from PCA and Robust Regression https://arxiv.org/abs/2507.08814 #q-bio.PE #stat.AP

Predictive Causal Inference via Spatio-Temporal Modeling and Penalized Empirical Likelihood https://arxiv.org/abs/2507.08896 #stat.ME #stat.ML #cs.LG