arXiv Statistics @arxiv_stats@qoto.org

Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning https://arxiv.org/abs/2402.06884 #stat.ML #cs.LG

Detection and inference of changes in high-dimensional linear regression with non-sparse structures https://arxiv.org/abs/2402.06915 #stat.ME #math.ST #stat.TH

The power of forgetting in statistical hypothesis testing https://arxiv.org/abs/2402.06920 #math.ST #stat.ME #stat.TH

Efficient Incremental Belief Updates Using Weighted Virtual Observations https://arxiv.org/abs/2402.06940 #stat.ML #cs.LG

Min-Max transformation for the measurement of sports performance through PIR https://arxiv.org/abs/2402.07004 #stat.AP

A product-limit estimator of the conditional survival function when cure status is partially known https://arxiv.org/abs/2402.07022 #stat.ME

Generalization Error of Graph Neural Networks in the Mean-field Regime https://arxiv.org/abs/2402.07025 #stat.ML #math.IT #cs.IT #cs.LG

Logistic-beta processes for modeling dependent random probabilities with beta marginals https://arxiv.org/abs/2402.07048 #stat.ME #stat.ML

Resampling methods for Private Statistical Inference https://arxiv.org/abs/2402.07131 #stat.ML #stat.ME #cs.CR #cs.LG

PASOA- PArticle baSed Bayesian Optimal Adaptive design https://arxiv.org/abs/2402.07160 #stat.ML #stat.CO #stat.ME #cs.LG

Mathematical programming tools for randomization purposes in small two-arm clinical trials: A case study with real data https://arxiv.org/abs/2402.06058 #stat.ME

Functional ANOVA approaches for detecting changes in air pollution during the COVID-19 pandemic https://arxiv.org/abs/2402.06066 #stat.AP #math.ST #stat.TH

A universal robust bound for the intrinsic Bayes factor https://arxiv.org/abs/2402.06112 #math.ST #math.PR #stat.TH

Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams https://arxiv.org/abs/2402.06122 #stat.ME #stat.ML #cs.LG

Leveraging Quadratic Polynomials in Python for Advanced Data Analysis https://arxiv.org/abs/2402.06133 #stat.ME #stat.CO

Mortality Prediction using Survival Energy Models with Functional Data Analysis https://arxiv.org/abs/2402.06138 #stat.AP

POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition https://arxiv.org/abs/2402.06151 #stat.ML #cs.LG

Wasserstein proximal operators describe score-based generative models and resolve memorization https://arxiv.org/abs/2402.06162 #stat.ML #cs.LG

SMC Is All You Need: Parallel Strong Scaling https://arxiv.org/abs/2402.06173 #stat.ML #stat.CO #cs.LG

Towards participatory multi-modeling for policy support across domains and scales: a systematic procedure for integral multi-model design https://arxiv.org/abs/2402.06228 #stat.ME #cs.CE #cs.CY #cs.MA