arXiv Statistics @arxiv_stats@qoto.org

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

Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting https://arxiv.org/abs/2406.10327 #stat.ML #cs.LG

Causal inference for N-of-1 trials https://arxiv.org/abs/2406.10360 #stat.ME

A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models https://arxiv.org/abs/2406.10438 #math.ST #stat.TH

Some theoretical foundations for the design and analysis of randomized experiments https://arxiv.org/abs/2406.10444 #math.ST #stat.TH

The data augmentation algorithm https://arxiv.org/abs/2406.10464 #stat.CO #stat.ME #stat.ML

Design-based variance estimation of the H\'ajek effect estimator in stratified and clustered experiments https://arxiv.org/abs/2406.10473 #stat.ME

Active, anytime-valid risk controlling prediction sets https://arxiv.org/abs/2406.10490 #stat.ML #cs.LG

Functional Clustering for Longitudinal Associations between County-Level Social Determinants of Health and Stroke Mortality in the US https://arxiv.org/abs/2406.10499 #stat.ME #stat.AP