arXiv Statistics @arxiv_stats@qoto.org

Distance Covariance, Independence, and Pairwise Differences https://arxiv.org/abs/2406.13052 #stat.ME

Nonparametric Motion Control in Functional Connectivity Studies in Children with Autism Spectrum Disorder https://arxiv.org/abs/2406.13111 #stat.ME

von Mises Quasi-Processes for Bayesian Circular Regression https://arxiv.org/abs/2406.13151 #stat.ML #stat.CO #cs.LG

Conditional score-based diffusion models for solving inverse problems in mechanics https://arxiv.org/abs/2406.13154 #stat.ML #cs.AI #cs.LG

Representation Transfer Learning for Semiparametric Regression https://arxiv.org/abs/2406.13197 #stat.ME

A finite-infinite shared atoms nested model for the Bayesian analysis of large grouped data https://arxiv.org/abs/2406.13310 #stat.ME #stat.AP

Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis https://arxiv.org/abs/2406.13425 #stat.ML #math.ST #stat.TH #cs.LG

High-probability minimax lower bounds https://arxiv.org/abs/2406.13447 #math.ST #math.IT #stat.ML #stat.TH #cs.IT #cs.LG

Semiparametric Localized Principal Stratification Analysis with Continuous Strata https://arxiv.org/abs/2406.13478 #stat.ME

Simultaneous comparisons of the variances of k treatments with that of a control: a Levene-Dunnett type procedure https://arxiv.org/abs/2406.11892 #stat.ME

Model-Based Inference and Experimental Design for Interference Using Partial Network Data https://arxiv.org/abs/2406.11940 #stat.ME #econ.EM #stat.ML #stat.OT #cs.SI

Clustering functional data with measurement errors: a simulation-based approach https://arxiv.org/abs/2406.11942 #stat.ME #stat.AP

Sparsity-Constraint Optimization via Splicing Iteration https://arxiv.org/abs/2406.12017 #stat.ML #stat.CO #cs.LG

Mixed-resolution hybrid modeling in an element-based framework https://arxiv.org/abs/2406.12028 #stat.ME #stat.AP #cs.SI

Entropic Regression DMD (ERDMD) Discovers Informative Sparse and Nonuniformly Time Delayed Models https://arxiv.org/abs/2406.12062 #stat.ML #nlin.CD #cs.LG

Minimax Linear Regression under the Quantile Risk https://arxiv.org/abs/2406.12145 #math.ST #stat.ML #stat.TH

Model Selection for Causal Modeling in Missing Exposure Problems https://arxiv.org/abs/2406.12171 #stat.ME #stat.AP

An Optimal Transport Approach for Network Regression https://arxiv.org/abs/2406.12204 #stat.ML #math.OC #cs.LG

Identifying Genetic Variants for Obesity Incorporating Prior Insights: Quantile Regression with Insight Fusion for Ultra-high Dimensional Data https://arxiv.org/abs/2406.12212 #stat.AP #stat.ME

Quick and Simple Kernel Differential Equation Regression Estimators for Data with Sparse Design https://arxiv.org/abs/2406.10308 #stat.ME #stat.AP