arXiv Statistics @arxiv_stats@qoto.org

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

Improving Model Chain Approaches for Probabilistic Solar Energy Forecasting through Post-processing and Machine Learning https://arxiv.org/abs/2406.04424 #physics.ao-ph #stat.AP #stat.ML #cs.LG

Bayesian Methods to Improve The Accuracy of Differentially Private Measurements of Constrained Parameters https://arxiv.org/abs/2406.04448 #stat.ME

Conformal Multi-Target Hyperrectangles https://arxiv.org/abs/2406.04498 #stat.ME

Causal Inference in Randomized Trials with Partial Clustering and Imbalanced Dependence Structures https://arxiv.org/abs/2406.04505 #stat.ME

A novel multivariate regression model for unbalanced binary data : a strong conjugacy under random effect approach https://arxiv.org/abs/2406.04518 #stat.ME

Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data https://arxiv.org/abs/2406.04527 #stat.ML #cs.LG

Imputation of Nonignorable Missing Data in Surveys Using Auxiliary Margins Via Hot Deck and Sequential Imputation https://arxiv.org/abs/2406.04599 #stat.ME #stat.AP

Dynamical mixture modeling with fast, automatic determination of Markov chains https://arxiv.org/abs/2406.04653 #stat.ME #math.NA #stat.ML #cs.NA