arXiv Statistics @arxiv_stats@qoto.org

Disentangling Latent Risk Pathways via Bayesian Hypergraph Inference https://arxiv.org/abs/2606.07677 #stat.ML #stat.AP #stat.ME #cs.LG

A Counting Process View of Relational Event Models: Practical Asymptotics https://arxiv.org/abs/2606.07680 #stat.ME #cs.SI

Transfer learning for causal forest https://arxiv.org/abs/2606.07693 #stat.ML #math.PR #cs.LG

Probabilistic Win Ratio Method For Hierarchical Composite Endpoints With Coarsened Outcomes https://arxiv.org/abs/2606.07762 #stat.ME #stat.OT

High Dimensional Change Point Models for Two-Directional Data https://arxiv.org/abs/2606.07816 #stat.ME

Large-scale empirical tuning and comparison of default optimizers for variational inference https://arxiv.org/abs/2606.07841 #stat.CO #stat.ML #cs.LG

Revisiting the Behrens-Fisher Problem: Validity-First Optimality https://arxiv.org/abs/2606.07847 #math.ST #stat.TH

Ergodic Theory in Classical and Bayesian Inference https://arxiv.org/abs/2606.07901 #math.ST #math.DS #math.PR #stat.TH

Identifiability and Estimation for Unlabeled Finite Mixtures under Marginal Independence https://arxiv.org/abs/2606.07914 #stat.ML #cs.LG

Barycentric Projections of Optimal Transport Plans on Riemannian Manifolds https://arxiv.org/abs/2606.07926 #stat.ML #cs.LG

Counting the uncounted: How many were killed in Guatemala, 1978-1995? https://arxiv.org/abs/2606.06571 #stat.AP

Smooth Hard-Thresholding for Singular Values with Stein's Unbiased Risk Estimate https://arxiv.org/abs/2606.06632 #math.ST #eess.IV #eess.SP #math.NA #stat.TH #cs.NA

When Should Forecasting Models Be Re-Specified? A Cost-Sensitive Trigger for Adaptive Model-Form Updating https://arxiv.org/abs/2606.06670 #stat.AP

Robust inference for cyclic-stress accelerated life tests under interval monitoring with lognormal lifetimes https://arxiv.org/abs/2606.06699 #stat.ME #stat.AP

Bayesian genome-wide clustering and variable selection of transcriptomic data via rank-based mixtures https://arxiv.org/abs/2606.06730 #stat.ME

Cluster-Aware Conformal Calibration for Spatio-Temporal Distributional Prediction https://arxiv.org/abs/2606.06753 #stat.ME

Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks https://arxiv.org/abs/2606.06764 #stat.ML #cs.AI #cs.LG

Sequential testing of conditionally constrained hypotheses https://arxiv.org/abs/2606.06769 #math.ST #stat.TH

Generalization in Deep Neural Networks: Minimax Rates for Gradient Methods https://arxiv.org/abs/2606.06772 #stat.ML #cs.AI #cs.LG

Empirical Transfer Operators and Finite-Sample Change Detection for Noisy Expanding Interval Maps https://arxiv.org/abs/2606.06785 #stat.ML #math.DS #cs.LG