arXiv Statistics @arxiv_stats@qoto.org

Acceptance or Rejection of Lots while Minimizing and Controlling Type I and Type II Errors https://arxiv.org/abs/2503.14514 #stat.ME #math.NA #cs.AI #cs.NA

The broken sample problem revisited: Proof of a conjecture by Bai-Hsing and high-dimensional extensions https://arxiv.org/abs/2503.14619 #math.ST #math.IT #stat.TH #cs.IT

Resolving Jeffreys-Lindley Paradox https://arxiv.org/abs/2503.14650 #stat.OT

Bayesian Sociality Models: A Scalable and Flexible Alternative for Network Analysis https://arxiv.org/abs/2503.14697 #stat.ME #stat.CO

Variational Autoencoded Multivariate Spatial Fay-Herriot Models https://arxiv.org/abs/2503.14710 #stat.ML #cs.LG

PSInference: A Package to Draw Inference for Released Plug-in Sampling Single Synthetic Dataset https://arxiv.org/abs/2503.14711 #stat.ME #stat.AP #stat.CO

On the Precise Asymptotics of Universal Inference https://arxiv.org/abs/2503.14717 #math.ST #stat.ML #stat.TH

Hazard Rate for Associated Data in Deconvolution Problems: Asymptotic Normality https://arxiv.org/abs/2503.14759 #math.ST #stat.TH

The Field Equations of Penalized non-Parametric Regression https://arxiv.org/abs/2503.14763 #math.ST #math.AP #math.FA #stat.TH

The Hardness of Validating Observational Studies with Experimental Data https://arxiv.org/abs/2503.14795 #stat.ML #stat.ME #cs.LG

Positivity sets of hinge functions https://arxiv.org/abs/2503.13512 #stat.ML #math.CO #math.FA #cs.DM #cs.LG #cs.SC

Micro Text Classification Based on Balanced Positive-Unlabeled Learning https://arxiv.org/abs/2503.13562 #stat.ML #cs.AI #cs.LG

The Hall of Fame Cut in Major League Baseball https://arxiv.org/abs/2503.13574 #stat.OT

High-dimensional Array Bayesian Screening Based on Distributions with Structural Zeroes https://arxiv.org/abs/2503.13605 #stat.AP

Bayesian Kernel Regression for Functional Data https://arxiv.org/abs/2503.13676 #stat.ML #cs.LG

Exact statistical tests using integer programming: Leveraging an overlooked approach for maximizing power for differences between binomial proportions https://arxiv.org/abs/2503.13689 #stat.ME

Optimizing ML Training with Metagradient Descent https://arxiv.org/abs/2503.13751 #stat.ML #cs.AI #cs.LG

Minnesota BART https://arxiv.org/abs/2503.13759 #stat.ME #econ.EM

Regularized Parameter Estimation in Mixed Model Trace Regression https://arxiv.org/abs/2503.13782 #stat.ME #stat.CO

ROCK: A variational formulation for occupation kernel methods in Reproducing Kernel Hilbert Spaces https://arxiv.org/abs/2503.13791 #stat.ML #cs.LG