Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization https://arxiv.org/abs/2403.07264 #stat.ML #cs.LG
Efficient and Model-Agnostic Parameter Estimation Under Privacy-Preserving Post-randomization Data https://arxiv.org/abs/2403.07288 #stat.ME
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance https://arxiv.org/abs/2403.07310 #stat.ML #cs.LG
Test for high-dimensional linear hypothesis of mean vectors via random integration https://arxiv.org/abs/2403.07318 #stat.AP
Studying a Surgery Service Occupation through a Queues Model https://arxiv.org/abs/2403.05554 #physics.soc-ph #stat.AP #math.PR
Bringing Age Back In: Accounting for Population Age Distribution in Forecasting Migration https://arxiv.org/abs/2403.05566 #stat.AP
TSSS: A Novel Triangulated Spherical Spline Smoothing for Surface-based Data https://arxiv.org/abs/2403.05644 #stat.ME #stat.AP
Minor Issues Escalated to Critical Levels in Large Samples: A Permutation-Based Fix https://arxiv.org/abs/2403.05647 #stat.ME #stat.CO
Dynamic clustering for heterophilic stochastic block models with time-varying node memberships https://arxiv.org/abs/2403.05654 #math.ST #stat.AP #stat.TH
PROTEST: Nonparametric Testing of Hypotheses Enhanced by Experts' Utility Judgements https://arxiv.org/abs/2403.05655 #stat.ME
Spectral Clustering of Categorical and Mixed-type Data via Extra Graph Nodes https://arxiv.org/abs/2403.05669 #stat.ML #cs.LG
Debiased Projected Two-Sample Comparisonscfor Single-Cell Expression Data https://arxiv.org/abs/2403.05679 #stat.ME #math.ST #stat.AP #stat.TH
SimEngine: A Modular Framework for Statistical Simulations in R https://arxiv.org/abs/2403.05698 #stat.CO
Model-Free Local Recalibration of Neural Networks https://arxiv.org/abs/2403.05756 #stat.ME #cs.LG
The SIDO Performance Model for League of Legends https://arxiv.org/abs/2403.04873 #stat.AP
Bayesian Level-Set Clustering https://arxiv.org/abs/2403.04912 #stat.ME
Bayesian Inference for High-dimensional Time Series by Latent Process Modeling https://arxiv.org/abs/2403.04915 #stat.ME #math.ST #stat.TH
collapse: Advanced and Fast Statistical Computing and Data Transformation in R https://arxiv.org/abs/2403.05038 #stat.CO
On an Empirical Likelihood based Solution to the Approximate Bayesian Computation Problem https://arxiv.org/abs/2403.05080 #stat.ME
Follow-the-Perturbed-Leader with Fr\'{e}chet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds https://arxiv.org/abs/2403.05134 #stat.ML #cs.LG
I post the feed of the arXiv Statistics.
#Statistics #Stats #Mathematics #Math #Maths #Science #arXiv #News #PeerReview