arXiv Statistics @arxiv_stats@qoto.org

Advanced biomarker analysis for early Alzheimer's detection: a 3-class classification approach https://arxiv.org/abs/2504.20577 #stat.ME

Bootstrap Prediction and Confidence Bands for Frequency Response Functions in Posturography https://arxiv.org/abs/2504.20588 #q-bio.NC #stat.AP

Sobolev norm inconsistency of kernel interpolation https://arxiv.org/abs/2504.20617 #stat.ML #cs.LG

Parameter Tuning of the Firefly Algorithm by Three Tuning Methods: Standard Monte Carlo, Quasi-Monte Carlo and Latin Hypercube Sampling Methods https://arxiv.org/abs/2504.18545 #stat.CO #cs.LG #cs.NE

Statistical Inference for Clustering-based Anomaly Detection https://arxiv.org/abs/2504.18633 #stat.ML #cs.LG

Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: $\sqrt{T}$-Regret https://arxiv.org/abs/2504.18657 #stat.ML #eess.SY #cs.LG #cs.SY

Local Polynomial Lp-norm Regression https://arxiv.org/abs/2504.18695 #stat.ML #stat.OT #cs.LG

A general sample size framework for developing or updating a clinical prediction model https://arxiv.org/abs/2504.18730 #stat.ME

A Simplified Condition For Quantile Regression https://arxiv.org/abs/2504.18769 #math.ST #math.PR #stat.TH

A Dictionary of Closed-Form Kernel Mean Embeddings https://arxiv.org/abs/2504.18830 #stat.ML #math.NA #stat.CO #cs.LG #cs.NA

Machine learning accelerates fuel cell life testing https://arxiv.org/abs/2504.18835 #stat.AP

ReLU integral probability metric and its applications https://arxiv.org/abs/2504.18897 #stat.ML #stat.ME #cs.LG

A Langevin sampling algorithm inspired by the Adam optimizer https://arxiv.org/abs/2504.18911 #stat.CO #stat.ML #cs.LG

Learning Enhanced Ensemble Filters https://arxiv.org/abs/2504.17836 #physics.comp-ph #stat.ML #eess.SY #cs.LG #cs.SY

SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses https://arxiv.org/abs/2504.17874 #stat.ME #stat.ML #cs.LG

Bernstein Polynomial Processes for Continuous Time Change Detection https://arxiv.org/abs/2504.17876 #stat.ME #math.ST #stat.AP #stat.TH

Model Error Covariance Estimation for Weak Constraint Data Assimilation https://arxiv.org/abs/2504.17900 #stat.ME #math.NA #math.OC #cs.NA

Non-identifiability distinguishes Neural Networks among Parametric Models https://arxiv.org/abs/2504.18017 #math.ST #stat.ML #stat.TH #cs.LG

A Directional Measure of Marginal Inhomogeneity for Square Contingency Tables using Discrete-time hazard https://arxiv.org/abs/2504.18100 #stat.ME

Debiased Continuous Updating GMM with Many Weak Instruments https://arxiv.org/abs/2504.18107 #stat.ME