arXiv Statistics @arxiv_stats@qoto.org

A Delayed Acceptance Auxiliary Variable MCMC for Spatial Models with Intractable Likelihood Function https://arxiv.org/abs/2504.17147 #stat.ME #stat.CO

Causal rule ensemble approach for multi-arm data https://arxiv.org/abs/2504.17166 #stat.ML #cs.LG

A general approach to modeling environmental mixtures with multivariate outcomes https://arxiv.org/abs/2504.17195 #stat.ME

Parental Imprints On Birth Weight: A Data-Driven Model For Neonatal Prediction In Low Resource Prenatal Care https://arxiv.org/abs/2504.15290 #stat.OT

A New Multiple Correlation Coefficient without Specifying the Dependent Variable https://arxiv.org/abs/2504.15372 #stat.ME

Assessing Surrogate Heterogeneity in Real World Data Using Meta-Learners https://arxiv.org/abs/2504.15386 #stat.ME #stat.ML #cs.LG

Deep learning with missing data https://arxiv.org/abs/2504.15388 #stat.ME #math.ST #stat.ML #stat.TH #cs.LG

ORKM: An R Package for Online Multi-View Data https://arxiv.org/abs/2504.15402 #stat.AP #stat.CO

A stochastic method to estimate a zero-inflated two-part mixed model for human microbiome data https://arxiv.org/abs/2504.15411 #stat.ME #math.ST #stat.TH

Micro-randomized Trials with Categorical Treatments: Causal Effect Estimation and Sample Size Calculation https://arxiv.org/abs/2504.15484 #stat.ME

Intra-Class Correlation Coefficient Ignorable Clustered Randomized Trials for Detecting Treatment Effect Heterogeneity https://arxiv.org/abs/2504.15503 #stat.ME

Ridge-Regularized Largest Root Test for General High-dimensional Double Wishart Problems https://arxiv.org/abs/2504.15510 #stat.ME

Transport f divergences https://arxiv.org/abs/2504.15515 #math.ST #math.IT #stat.TH #cs.AI #cs.IT

Bayesian Rao test for distributed target detection in interference and noise with limited training data https://arxiv.org/abs/2504.13235 #stat.ME #math.IT #cs.IT

Estimating equations for survival analysis with pooled logistic regression https://arxiv.org/abs/2504.13291 #stat.ME #stat.CO

Gradient-Free Sequential Bayesian Experimental Design via Interacting Particle Systems https://arxiv.org/abs/2504.13320 #stat.ML #math.NA #stat.CO #cs.LG #cs.NA

Predicting Forced Responses of Probability Distributions via the Fluctuation-Dissipation Theorem and Generative Modeling https://arxiv.org/abs/2504.13333 #stat.ML #nlin.CD #cs.LG

On the minimax optimality of Flow Matching through the connection to kernel density estimation https://arxiv.org/abs/2504.13336 #stat.ML #cs.LG

Intelligent data collection for network discrimination in material flow analysis using Bayesian optimal experimental design https://arxiv.org/abs/2504.13382 #stat.AP

Active Learning of Computer Experiment with both Quantitative and Qualitative Inputs https://arxiv.org/abs/2504.13441 #stat.ME