arXiv Statistics @arxiv_stats@qoto.org

A Stochastic Weather Model: A Case of Bono Region of Ghana https://arxiv.org/abs/2409.06731 #stat.AP #math.PR

Kramnik vs Nakamura: A Chess Scandal https://arxiv.org/abs/2409.06739 #stat.AP

Learning Deep Kernels for Non-Parametric Independence Testing https://arxiv.org/abs/2409.06890 #stat.ML #cs.LG

k-MLE, k-Bregman, k-VARs: Theory, Convergence, Computation https://arxiv.org/abs/2409.06938 #stat.ML #cs.LG

Toward Model-Agnostic Detection of New Physics Using Data-Driven Signal Regions https://arxiv.org/abs/2409.06960 #physics.data-an #stat.ML #stat.AP #cs.LG

A Practical Theory of Generalization in Selectivity Learning https://arxiv.org/abs/2409.07014 #stat.ML #cs.DB #cs.LG

Clustered Factor Analysis for Multivariate Spatial Data https://arxiv.org/abs/2409.07018 #stat.ME

From optimal score matching to optimal sampling https://arxiv.org/abs/2409.07032 #stat.ML #cs.LG

Identifiability of Polynomial Models from First Principles and via a Gr\"obner Basis Approach https://arxiv.org/abs/2409.07062 #math.ST #stat.TH

Statistical Finite Elements via Interacting Particle Langevin Dynamics https://arxiv.org/abs/2409.07101 #physics.comp-ph #stat.CO

Bridging Rested and Restless Bandits with Graph-Triggering: Rising and Rotting https://arxiv.org/abs/2409.05980 #stat.ML #cs.LG

Learning about Spatial and Temporal Proximity using Tree-Based Methods https://arxiv.org/abs/2409.06046 #stat.AP

Empirical Bernstein in smooth Banach spaces https://arxiv.org/abs/2409.06060 #math.ST #stat.TH

Variational Search Distributions https://arxiv.org/abs/2409.06142 #stat.ML #cs.LG

Nonparametric Inference for Balance in Signed Networks https://arxiv.org/abs/2409.06172 #stat.ME

Optimizing Sample Size for Supervised Machine Learning with Bulk Transcriptomic Sequencing: A Learning Curve Approach https://arxiv.org/abs/2409.06180 #q-bio.GN #stat.ME

Intrinsic geometry-inspired dependent toroidal distribution: Application to regression model for astigmatism data https://arxiv.org/abs/2409.06229 #stat.AP

Applications of machine learning to predict seasonal precipitation for East Africa https://arxiv.org/abs/2409.06238 #stat.AP #stat.ML

A new paradigm for global sensitivity analysis https://arxiv.org/abs/2409.06271 #stat.ML #stat.ME #cs.LG

On Sparsity and Sub-Gaussianity in the Johnson-Lindenstrauss Lemma https://arxiv.org/abs/2409.06275 #math.ST #stat.TH