arXiv Statistics @arxiv_stats@qoto.org

Dimension-free Relaxation Times of Informed MCMC Samplers on Discrete Spaces https://arxiv.org/abs/2404.03867 #stat.CO #math.PR #stat.ML

Latent Space-based Likelihood Estimation Using Single Observation for Bayesian Updating of Nonlinear Hysteretic Model https://arxiv.org/abs/2404.03871 #stat.AP

Wasserstein F-tests for Fr\'echet regression on Bures-Wasserstein manifolds https://arxiv.org/abs/2404.03878 #stat.ME #stat.ML

Nonparametric Modern Hopfield Models https://arxiv.org/abs/2404.03900 #stat.ML #cs.AI #cs.LG #cs.NE

Spatio-temporal Modeling of Count Data https://arxiv.org/abs/2404.02982 #stat.ME

General Effect Modelling (GEM) -- Part 1. Method description https://arxiv.org/abs/2404.03024 #stat.ME

General Effect Modelling (GEM) -- Part 2. Multivariate GEM applied to gene expression data of type 2 diabetes detects information that is lost by univariate validation https://arxiv.org/abs/2404.03029 #stat.ME #stat.AP

General Effect Modelling (GEM) -- Part 3. GEM applied on proteome data of cerebrospinal fluid of multiple sclerosis and clinically isolated syndrome https://arxiv.org/abs/2404.03034 #stat.ME #stat.AP

Asymptotically-exact selective inference for quantile regression https://arxiv.org/abs/2404.03059 #stat.ME #math.ST #stat.TH

Consistency of the bootstrap for asymptotically linear estimators based on machine learning https://arxiv.org/abs/2404.03064 #math.ST #stat.TH

Auditing the Use of Language Models to Guide Hiring Decisions https://arxiv.org/abs/2404.03086 #stat.AP #cs.CL

ALAAMEE: Open-source software for fitting autologistic actor attribute models https://arxiv.org/abs/2404.03116 #stat.CO #stat.ME #cs.SI

A Bayesian factor analysis model for high-dimensional microbiome count data https://arxiv.org/abs/2404.03127 #stat.ME

Orthogonal calibration via posterior projections with applications to the Schwarzschild model https://arxiv.org/abs/2404.03152 #stat.ME

Seemingly unrelated Bayesian additive regression trees for cost-effectiveness analyses in healthcare https://arxiv.org/abs/2404.02228 #stat.ME #econ.EM #stat.AP

On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning https://arxiv.org/abs/2404.02254 #stat.ML #cs.LG

Integrating representative and non-representative survey data for efficient inference https://arxiv.org/abs/2404.02283 #stat.ME #stat.AP

Optimal combination of composite likelihoods using approximate Bayesian computation with application to state-space models https://arxiv.org/abs/2404.02313 #stat.ME #stat.CO

Exploring the Connection Between the Normalized Power Prior and Bayesian Hierarchical Models https://arxiv.org/abs/2404.02453 #stat.ME #math.ST #stat.TH

Small diffusivity asymptotics for a linear parabolic SPDE in two space dimensions https://arxiv.org/abs/2404.02513 #math.ST #stat.TH