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Risk Bounds and Calibration for a Smart Predict-then-Optimize Method. (arXiv:2108.08887v1 [cs.LG]) arxiv.org/abs/2108.08887

Local Latin Hypercube Refinement for Multi-objective Design Uncertainty Optimization. (arXiv:2108.08890v1 [stat.ML]) arxiv.org/abs/2108.08890

Statistical Learning to Operationalize a Domain Agnostic Data Quality Scoring. (arXiv:2108.08905v1 [cs.LG]) arxiv.org/abs/2108.08905

Robust Designs for Prospective Randomized Trials Surveying Sensitive Topics. (arXiv:2108.08944v1 [stat.ME]) arxiv.org/abs/2108.08944

A Novel Approach to Handling the Non-Central Dirichlet Distribution. (arXiv:2108.08947v1 [math.ST]) arxiv.org/abs/2108.08947

Assessing Cerebellar Disorders With Wearable Inertial Sensor Data Using Time-Frequency and Autoregressive Hidden Markov Model Approaches. (arXiv:2108.08975v1 [q-bio.NC]) arxiv.org/abs/2108.08975

Uniformity Testing in the Shuffle Model: Simpler, Better, Faster. (arXiv:2108.08987v1 [cs.DS]) arxiv.org/abs/2108.08987

Quadratic Discriminant Analysis by Projection. (arXiv:2108.09005v1 [stat.ME]) arxiv.org/abs/2108.09005

Transfer learning of individualized treatment rules from experimental to real-world data. (arXiv:2108.08415v1 [stat.ME]) arxiv.org/abs/2108.08415

Estimating the natural indirect effect and the mediation proportion via the product method. (arXiv:2108.08417v1 [stat.ME]) arxiv.org/abs/2108.08417

Bayesian Semiparametric Hidden Markov Tensor Partition Models for Longitudinal Data with Local Variable Selection. (arXiv:2108.08439v1 [stat.ME]) arxiv.org/abs/2108.08439

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

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

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

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

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

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

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

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

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