arXiv Statistics @arxiv_stats@qoto.org

An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of tailoring variables https://arxiv.org/abs/2405.08180 #stat.ME

Linear Operator Approximate Message Passing (OpAMP) https://arxiv.org/abs/2405.08225 #math.ST #math.IT #math.PR #stat.TH #cs.IT

Additive-Effect Assisted Learning https://arxiv.org/abs/2405.08235 #stat.ML #cs.LG

Thompson Sampling for Infinite-Horizon Discounted Decision Processes https://arxiv.org/abs/2405.08253 #stat.ML #math.OC #cs.LG

Scalable Subsampling Inference for Deep Neural Networks https://arxiv.org/abs/2405.08276 #stat.ML #stat.CO #cs.LG

MCMC using $\textit{bouncy}$ Hamiltonian dynamics: A unifying framework for Hamiltonian Monte Carlo and piecewise deterministic Markov process samplers https://arxiv.org/abs/2405.08290 #stat.CO #stat.ME

Sequential Maximal Updated Density Parameter Estimation for Dynamical Systems with Parameter Drift https://arxiv.org/abs/2405.08307 #stat.ME #math.NA #stat.OT #cs.NA

Parameter estimation and long-range dependence of the fractional binomial process https://arxiv.org/abs/2405.08332 #math.ST #stat.TH

Quest for an efficient mathematical and computational method to explore optimal extreme weather modification https://arxiv.org/abs/2405.08387 #physics.geo-ph #stat.AP

Liouville Flow Importance Sampler https://arxiv.org/abs/2405.06672 #physics.data-an #stat.ML #math.PR #stat.CO #cs.LG

Hypergeometric Distribution Revisited: Tail Inequalities, Confidence Bounds and Sample Sizes https://arxiv.org/abs/2405.06722 #math.ST #stat.TH

Approximation Error and Complexity Bounds for ReLU Networks on Low-Regular Function Spaces https://arxiv.org/abs/2405.06727 #stat.ML #cs.LG

Neural Estimation Of Entropic Optimal Transport https://arxiv.org/abs/2405.06734 #math.ST #stat.TH

Post-selection inference for causal effects after causal discovery https://arxiv.org/abs/2405.06763 #stat.ME

The Multiple Change-in-Gaussian-Mean Problem https://arxiv.org/abs/2405.06796 #stat.ME #math.ST #stat.CO #stat.TH

Estimating Value at Risk and Expected Shortfall: A Brief Review and Some New Developments https://arxiv.org/abs/2405.06798 #stat.CO

Riemannian Statistics for Any Type of Data https://arxiv.org/abs/2405.06799 #stat.ME #math.ST #stat.TH

A note on distance variance for categorical variables https://arxiv.org/abs/2405.06813 #stat.ME #math.ST #stat.TH

Bayesian Projection of Refugee and Asylum Seeker Populations https://arxiv.org/abs/2405.06857 #stat.AP

Binary Hypothesis Testing for Softmax Models and Leverage Score Models https://arxiv.org/abs/2405.06003 #stat.ML #cs.LG