arXiv Statistics @arxiv_stats@qoto.org

The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage. (arXiv:2111.09344v1 [cs.LG]) http://arxiv.org/abs/2111.09344

Personalized Federated Learning through Local Memorization. (arXiv:2111.09360v1 [cs.LG]) http://arxiv.org/abs/2111.09360

A Novel Compartmental Approach to Modeling COVID-19 Disease Dynamics and Analyzing the Effect of Common Preventative Measures. (arXiv:2111.09402v1 [q-bio.PE]) http://arxiv.org/abs/2111.09402

Return-to-baseline multiple imputation for missing values in clinical trials. (arXiv:2111.09423v1 [stat.ME]) http://arxiv.org/abs/2111.09423

Nonparametric Scanning For Nonrandom Missing Data With Continuous Instrumental Variables. (arXiv:2111.09429v1 [stat.ME]) http://arxiv.org/abs/2111.09429

Unbiased Risk Estimation in the Normal Means Problem via Coupled Bootstrap Techniques. (arXiv:2111.09447v1 [math.ST]) http://arxiv.org/abs/2111.09447

Number of New Top 2% Researchers from China and USA Over Time. (arXiv:2111.09473v1 [stat.AP]) http://arxiv.org/abs/2111.09473

Implicit copula variational inference. (arXiv:2111.09511v1 [stat.ME]) http://arxiv.org/abs/2111.09511

Extending the coefficient of variation for measuring heterogeneity following a meta-regression. (arXiv:2111.09518v1 [stat.ME]) http://arxiv.org/abs/2111.09518

How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization. (arXiv:2111.08706v1 [cs.NE]) http://arxiv.org/abs/2111.08706

Ocean Mover's Distance: Using Optimal Transport for Analyzing Oceanographic Data. (arXiv:2111.08736v1 [stat.AP]) http://arxiv.org/abs/2111.08736

Practical Guidance on Modeling Choices for the Virtual Twins Method. (arXiv:2111.08741v1 [stat.ME]) http://arxiv.org/abs/2111.08741

Non-parametric Bayesian Vector Autoregression using Multi-subject Data. (arXiv:2111.08743v1 [stat.ME]) http://arxiv.org/abs/2111.08743

Online Estimation and Optimization of Utility-Based Shortfall Risk. (arXiv:2111.08805v1 [stat.ML]) http://arxiv.org/abs/2111.08805

Studying Buildings Outlines to Assess and Predict Energy Performance in Buildings: A Probabilistic Approach. (arXiv:2111.08844v1 [stat.AP]) http://arxiv.org/abs/2111.08844

Deep Neural Networks for Rank-Consistent Ordinal Regression Based On Conditional Probabilities. (arXiv:2111.08851v1 [cs.LG]) http://arxiv.org/abs/2111.08851

Label efficient two-sample test. (arXiv:2111.08861v1 [cs.LG]) http://arxiv.org/abs/2111.08861

Max-Min Grouped Bandits. (arXiv:2111.08862v1 [stat.ML]) http://arxiv.org/abs/2111.08862

Some Case Studies Using Bayesian Statistical Models. (arXiv:2111.08870v1 [stat.ME]) http://arxiv.org/abs/2111.08870

Solving Inverse Problems in Medical Imaging with Score-Based Generative Models. (arXiv:2111.08005v1 [eess.IV]) http://arxiv.org/abs/2111.08005