arXiv Statistics @arxiv_stats@qoto.org

Running Markov Chain Monte Carlo on Modern Hardware and Software https://arxiv.org/abs/2411.04260 #stat.CO

Graph neural networks and non-commuting operators https://arxiv.org/abs/2411.04265 #stat.ML #cs.AI #cs.LG

Mediation analysis of community context effects on heart failure using the survival R2D2 prior https://arxiv.org/abs/2411.04310 #stat.ME

Adaptive signal recovery in sparse nonparametric models https://arxiv.org/abs/2411.04320 #math.ST #stat.TH

Comment on 'Sparse Bayesian Factor Analysis when the Number of Factors is Unknown' by S. Fr\"uhwirth-Schnatter, D. Hosszejni, and H. Freitas Lopes written by Roberto Casarin and Antonio Peruzzi (Ca' Foscari University of Venice) https://arxiv.org/abs/2411.02531 #stat.ME #econ.EM

Estimating journey time for two-point vehicle re-identification survey with limited observable scope using 2-dimensional truncated distributions https://arxiv.org/abs/2411.02539 #stat.AP

Effects of survey design features on response rates: a meta-analytical approach using the example of crime surveys https://arxiv.org/abs/2411.02552 #stat.AP

A Directional Rockafellar-Uryasev Regression https://arxiv.org/abs/2411.02557 #stat.ML #cs.LG

Classifier Chain Networks for Multi-Label Classification https://arxiv.org/abs/2411.02638 #stat.ML #cs.LG

Point processes with event time uncertainty https://arxiv.org/abs/2411.02694 #stat.ML #math.ST #stat.TH #cs.LG

Elliptical Wishart distributions: information geometry, maximum likelihood estimator, performance analysis and statistical learning https://arxiv.org/abs/2411.02726 #stat.ML #stat.ME #cs.LG

Restricted Win Probability with Bayesian Estimation for Implementing the Estimand Framework in Clinical Trials With a Time-to-Event Outcome https://arxiv.org/abs/2411.02755 #stat.ME

Identifying nonlinear relations among random variables: A network analytic approach https://arxiv.org/abs/2411.02763 #stat.ME

Solving the 2D Advection-Diffusion Equation using Fixed-Depth Symbolic Regression and Symbolic Differentiation without Expression Trees https://arxiv.org/abs/2411.00011 #stat.CO #math.NA #cs.LG #cs.NA

Prospective Learning: Learning for a Dynamic Future https://arxiv.org/abs/2411.00109 #stat.ML #cs.AI #cs.LG

A Geometric Framework for Understanding Memorization in Generative Models https://arxiv.org/abs/2411.00113 #stat.ML #cs.LG

Residual Deep Gaussian Processes on Manifolds https://arxiv.org/abs/2411.00161 #stat.ML #cs.LG

Sharp Bounds on the Variance of General Regression Adjustment in Randomized Experiments https://arxiv.org/abs/2411.00191 #stat.ME #math.ST #stat.TH

Learning Mixtures of Unknown Causal Interventions https://arxiv.org/abs/2411.00213 #stat.ML #cs.LG

Inclusive KL Minimization: A Wasserstein-Fisher-Rao Gradient Flow Perspective https://arxiv.org/abs/2411.00214 #stat.ML #math.OC #cs.LG