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482 * ! Thu, 8/6/2020, 10:00 AM - 2:00 PM Virtual
Application of Nonparametric Tests — Contributed Papers
Section on Nonparametric Statistics
Chair(s): Trinetri Ghosh, Pennsylvania State University
Detection of Data Drift and Outliers Affecting Machine Learning Model Performance Over Time
Samuel Ackerman, IBM Research, Haifa; Orna Raz, IBM Research, Haifa; Eitan Farchi, IBM Research, Haifa; Marcel Zalmanovici, IBM Research, Haifa
A new permutation and Lasso-based interval selection technique
Riccardo Ceccato, University of Padova; Luigi Salmaso, University of Padova; Rosa Arboretti, University of Padova; Luca Pegoraro, University of Padova
Resampling-Based Confidence Intervals for Model-Free Robust Inference on Optimal Treatment Regimes
Yunan Wu, University of Minnesota; Lan Wang, University of Minnesota
State-Domain Change Point Detection for Nonlinear Time Series Regression
Yan Cui
When Your Permutation Test Is Doomed to Fail
William Christensen, Brigham Young University; Brinley Nicole Zabriskie, Brigham Young University
Robustness of Two-Sample Permutation Tests at 0.5% and 5% Significance Levels
Kimihiro Noguchi; Frank Konietschke, Charité - Universitaetsmedizin Berlin; Fernando Marmolejo-Ramos, University of South Australia; Markus Pauly, TU Dortmund University
The Restricted Gradient Test (REGRET): A Nonparametric Score-Type Test for Infinite-Dimensional Risk Minimizers
Aaron Hudson, University of Washington; Ali Shojaie, University of Washington