arXiv Statistics @arxiv_stats@qoto.org

Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints https://arxiv.org/abs/2406.06755 #math.ST #stat.ML #stat.TH #cs.LG

ULV: A robust statistical method for clustered data, with applications to multisubject, single-cell omics data https://arxiv.org/abs/2406.06767 #q-bio.QM #stat.ME #stat.CO

Data-Driven Switchback Experiments: Theoretical Tradeoffs and Empirical Bayes Designs https://arxiv.org/abs/2406.06768 #q-bio.QM #stat.ME #econ.EM #cs.LG

Satisficing Exploration in Bandit Optimization https://arxiv.org/abs/2406.06802 #stat.ML #cs.LG

A local squared Wasserstein-2 method for efficient reconstruction of models with uncertainty https://arxiv.org/abs/2406.06825 #stat.ML #math.PR #cs.LG

Power Analysis for Experiments with Clustered Data, Ratio Metrics, and Regression for Covariate Adjustment https://arxiv.org/abs/2406.06834 #stat.ME #math.ST #stat.TH

Flexible Parametric Inference for Space-Time Hawkes Processes https://arxiv.org/abs/2406.06849 #stat.ML #cs.LG

Unbiased Markov Chain Monte Carlo: what, why, and how https://arxiv.org/abs/2406.06851 #stat.ME

Causality for Complex Continuous-time Functional Longitudinal Studies with Dynamic Treatment Regimes https://arxiv.org/abs/2406.06868 #math.ST #stat.ME #stat.TH

Numerically robust square root implementations of statistical linear regression filters and smoothers https://arxiv.org/abs/2406.05188 #stat.ME #math.NA #cs.NA

Analyzing the factors that are involved in length of inpatient stay at the hospital for diabetes patients https://arxiv.org/abs/2406.05189 #stat.AP #cs.AI

Probabilistic Clustering using Shared Latent Variable Model for Assessing Alzheimers Disease Biomarkers https://arxiv.org/abs/2406.05193 #stat.ME #stat.CO

Markov chain Monte Carlo without evaluating the target: an auxiliary variable approach https://arxiv.org/abs/2406.05242 #stat.CO #stat.ME #stat.ML

Generative modeling of density regression through tree flows https://arxiv.org/abs/2406.05260 #stat.ML #cs.LG

A Three-groups Non-local Model for Combining Heterogeneous Data Sources to Identify Genes Associated with Parkinson's Disease https://arxiv.org/abs/2406.05262 #stat.AP

"Minus-One" Data Prediction Generates Synthetic Census Data with Good Crosstabulation Fidelity https://arxiv.org/abs/2406.05264 #stat.AP #stat.ME #cs.CR #cs.CY

Polytomous Explanatory Item Response Models for Item Discrimination: Assessing Negative-Framing Effects in Social-Emotional Learning Surveys https://arxiv.org/abs/2406.05304 #stat.ME

Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation https://arxiv.org/abs/2406.05320 #stat.ML #cs.LG

Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models https://arxiv.org/abs/2406.05340 #stat.ME #stat.ML

Determining the Number of Communities in Sparse and Imbalanced Settings https://arxiv.org/abs/2406.04423 #physics.soc-ph #stat.ME #cs.SI