arXiv Statistics @arxiv_stats@qoto.org

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

Causal Inference with Outcomes Truncated by Death and Missing Not at Random https://arxiv.org/abs/2406.10554 #stat.ME #stat.AP

Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior https://arxiv.org/abs/2406.09513 #stat.ML #eess.SP #cs.LG

Causal Fine-Tuning and Effect Calibration of Non-Causal Predictive Models https://arxiv.org/abs/2406.09567 #stat.ML #cs.LG

Ridge Regression for Paired Comparisons: A Tractable New Approach, with Application to Premier League Football https://arxiv.org/abs/2406.09597 #stat.ME #stat.AP

Time Series Forecasting with Many Predictors https://arxiv.org/abs/2406.09625 #stat.ME

New algorithms for sampling and diffusion models https://arxiv.org/abs/2406.09665 #math.ST #math.OC #math.PR #stat.ML #stat.TH

An Efficient Approach to Regression Problems with Tensor Neural Networks https://arxiv.org/abs/2406.09694 #stat.ML #cs.LG