arXiv Statistics @arxiv_stats@qoto.org

Asymptotically Efficient Data-adaptive Penalized Shrinkage Estimation with Application to Causal Inference https://arxiv.org/abs/2505.08065 #stat.ME

Doubly Robust Fusion of Many Treatments for Policy Learning https://arxiv.org/abs/2505.08092 #stat.ME #stat.ML

Sharp Gaussian approximations for Decentralized Federated Learning https://arxiv.org/abs/2505.08125 #stat.ML #math.ST #stat.TH #cs.LG

Modeling the 2022 Mpox Outbreak with a Mechanistic Network Model https://arxiv.org/abs/2505.05534 #physics.soc-ph #q-bio.PE #stat.AP

Optimal Regret of Bernoulli Bandits under Global Differential Privacy https://arxiv.org/abs/2505.05613 #stat.ML #math.IT #math.ST #stat.TH #cs.CR #cs.IT #cs.LG

Tutorial on Bayesian Functional Regression Using Stan https://arxiv.org/abs/2505.05633 #stat.ME #stat.CO

Bayesian shape-constrained regression for quantifying Alzheimer's disease biomarker progression https://arxiv.org/abs/2505.05700 #stat.AP #stat.ME

Variational Bayesian Logistic Tensor Regression with Application to Image Recognition https://arxiv.org/abs/2505.05730 #stat.ME

Model-based calibration of gear-specific fish abundance survey data as a change-of-support problem https://arxiv.org/abs/2505.05767 #q-bio.QM #stat.ME

Statistical methods for cost-effectiveness analysis of left-truncated censored survival data with treatment delays https://arxiv.org/abs/2505.05771 #stat.ME

Parsimonious Modeling of Periodic Time Series Using Fourier and Wavelet Techniques https://arxiv.org/abs/2505.05778 #stat.ME

GLOSSA: a user-friendly R Shiny application for Bayesian machine learning analysis of marine species distribution https://arxiv.org/abs/2505.05862 #stat.ME

Diffusion piecewise exponential models for survival extrapolation using Piecewise Deterministic Monte Carlo https://arxiv.org/abs/2505.05932 #stat.ME #stat.AP

Cer-Eval: Certifiable and Cost-Efficient Evaluation Framework for LLMs https://arxiv.org/abs/2505.03814 #stat.ML #cs.AI #cs.CL #cs.LG

Categorical and geometric methods in statistical, manifold, and machine learning https://arxiv.org/abs/2505.03862 #stat.ML #math.CT #math.DG #math.ST #stat.TH #cs.LG

Learning Interactions Between Continuous Treatments and Covariates with a Semiparametric Model https://arxiv.org/abs/2505.03893 #stat.ME #math.OC #stat.AP

ROSE: Randomized Optimal Selection Design for Dose Optimization https://arxiv.org/abs/2505.03898 #stat.ME

Causal Inference in Counterbalanced Within-Subjects Designs https://arxiv.org/abs/2505.03937 #stat.ME #econ.EM

A computationally efficient framework for realistic epidemic modelling through Gaussian Markov random fields https://arxiv.org/abs/2505.03938 #stat.CO

Survey Experience and Nonresponse in an Online Probability Panel: A Survival Analysis https://arxiv.org/abs/2505.03971 #stat.ME