arXiv Statistics @arxiv_stats@qoto.org

Mixed Exponential Statistical Structures and Their Approximation Operators https://arxiv.org/abs/2512.07870 #math.ST #stat.TH

Functional Random Forest with Adaptive Cost-Sensitive Splitting for Imbalanced Functional Data Classification https://arxiv.org/abs/2512.07888 #stat.ML #stat.AP #stat.CO #cs.AI #cs.LG

Bayesian Semiparametric Joint Dynamic Model for Multitype Recurrent Events and a Terminal Event https://arxiv.org/abs/2512.07973 #stat.ME

The limit joint distributions of some statistics used in testing the quality of random number generators https://arxiv.org/abs/2512.08002 #math.ST #stat.AP #stat.TH

Provable Diffusion Posterior Sampling for Bayesian Inversion https://arxiv.org/abs/2512.08022 #stat.ML #math.NA #math.PR #math.ST #stat.TH #cs.LG #cs.NA

Defining 3-dimensional marine provinces with phytoplankton compositions https://arxiv.org/abs/2512.08035 #stat.AP

ADOPT: Additive Optimal Transport Regression https://arxiv.org/abs/2512.08118 #stat.ME

deepspat: An R package for modeling nonstationary spatial and spatio-temporal Gaussian and extremes data through deep deformations https://arxiv.org/abs/2512.08137 #stat.CO #stat.ME

Non-parametric assessment of the calibration of individualized treatment effects https://arxiv.org/abs/2512.08140 #stat.ME

Propensity score adjustment when errors in achievement measures inform treatment assignment https://arxiv.org/abs/2512.08144 #stat.ME

A Benchmark Study of Classical and Dual Polynomial Regression (DPR)-Based Probability Density Estimation Technique https://arxiv.org/abs/2512.04235 #stat.CO

Reyes's I: Measuring Spatial Autocorrelation in Compositions https://arxiv.org/abs/2512.04289 #stat.ME

Sequential Randomization Tests Using E-values: A Betting Approach for Clinical Trials https://arxiv.org/abs/2512.04366 #stat.ME #stat.AP

Informative missingness and its implications in semi-supervised learning https://arxiv.org/abs/2512.04392 #stat.ML #cs.LG

Learning Heterogeneous Ordinal Graphical Models via Bayesian Nonparametric Clustering https://arxiv.org/abs/2512.04407 #stat.ME

Multi-source Learning for Target Population by High-dimensional Calibration https://arxiv.org/abs/2512.04412 #stat.ME

Bayesian Graphical High-Dimensional Time Series Models for Detecting Structural Changes https://arxiv.org/abs/2512.04444 #stat.ME #stat.AP

Tensor Neyman-Pearson Classification: Theory, Algorithms, and Error Control https://arxiv.org/abs/2512.04583 #stat.ME

Recurrent Neural Networks with Linear Structures for Electricity Price Forecasting https://arxiv.org/abs/2512.04690 #stat.ML #cs.LG

Provable FDR Control for Deep Feature Selection: Deep MLPs and Beyond https://arxiv.org/abs/2512.04696 #stat.ML #math.ST #stat.TH #cs.LG