arXiv Statistics @arxiv_stats@qoto.org

Seven Principles for Rapid-Response Data Science: Lessons Learned from Covid-19 Forecasting. (arXiv:2108.08445v1 [stat.AP]) http://arxiv.org/abs/2108.08445

The Bootstrap for Dynamical Systems. (arXiv:2108.08461v1 [math.DS]) http://arxiv.org/abs/2108.08461

Empirical process theory for nonsmooth functions under functional dependence. (arXiv:2108.08512v1 [math.ST]) http://arxiv.org/abs/2108.08512

Bayesian sample size determination for diagnostic accuracy studies. (arXiv:2108.08594v1 [stat.ME]) http://arxiv.org/abs/2108.08594

Item Response Theory -- A Statistical Framework for Educational and Psychological Measurement. (arXiv:2108.08604v1 [stat.ME]) http://arxiv.org/abs/2108.08604

Global Convergence of the ODE Limit for Online Actor-Critic Algorithms in Reinforcement Learning. (arXiv:2108.08655v1 [cs.LG]) http://arxiv.org/abs/2108.08655

On Accelerating Distributed Convex Optimizations. (arXiv:2108.08670v1 [math.OC]) http://arxiv.org/abs/2108.08670

Bagging Supervised Autoencoder Classifier for Credit Scoring. (arXiv:2108.07800v1 [cs.LG]) http://arxiv.org/abs/2108.07800

Aggregated Customer Engagement Model. (arXiv:2108.07872v1 [stat.ML]) http://arxiv.org/abs/2108.07872

Stable combination tests. (arXiv:2108.07876v1 [stat.ME]) http://arxiv.org/abs/2108.07876

Stochastic loss reserving with mixture density neural networks. (arXiv:2108.07924v1 [stat.ME]) http://arxiv.org/abs/2108.07924

Implicit Profiling Estimation for Semiparametric Models with Bundled Parameters. (arXiv:2108.07928v1 [stat.CO]) http://arxiv.org/abs/2108.07928

A Model for Bimodal Rates and Proportions. (arXiv:2108.07934v1 [stat.ME]) http://arxiv.org/abs/2108.07934

The Generalized Gamma distribution as a useful RND under Heston's stochastic volatility model. (arXiv:2108.07937v1 [q-fin.CP]) http://arxiv.org/abs/2108.07937

Weak signal identification and inference in penalized likelihood models for categorical responses. (arXiv:2108.07940v1 [stat.ME]) http://arxiv.org/abs/2108.07940

Semantic Perturbations with Normalizing Flows for Improved Generalization. (arXiv:2108.07958v1 [stat.ML]) http://arxiv.org/abs/2108.07958

On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity. (arXiv:2108.07992v1 [stat.ML]) http://arxiv.org/abs/2108.07992

Understanding the factors driving the opioid epidemic using machine learning. (arXiv:2108.07301v1 [cs.LG]) http://arxiv.org/abs/2108.07301

Fine-tuning is Fine in Federated Learning. (arXiv:2108.07313v1 [cs.LG]) http://arxiv.org/abs/2108.07313

Augmenting control arms with Real-World Data for cancer trials: Hybrid control arm methods and considerations. (arXiv:2108.07335v1 [stat.ME]) http://arxiv.org/abs/2108.07335