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Activity Details

469 Thu, 8/6/2020, 10:00 AM - 2:00 PM Virtual
Topics in Modern Predictive Modeling — Contributed Papers
Chair(s): Adityanand Guntuboyina, University of California, Berkeley
Predictive Modeling for Positive-Only Data with High-Dimensional Covariates
Prabrisha Rakshit, Rutgers The State Univ of NJ; Zijian Guo, Rutgers The State University of NJ; Jinbo Chen, University of Pennsylvania; Daniel Herman, University of Pennsylvania Perelman School of Medicine
The Price of Competition: Effect-Size Heterogeneity Matters in High Dimensions
Hua Wang, University of Pennsylvania, Statistics Department of Wharton; Weijie Su, University of Pennsylvania; Yachong Yang, Univ of Pennsylvania, Wharton School of Business
Multi-Product Dynamic Pricing in High-Dimensions with Heterogeneous Price Sensitivity
Adel Javanmard, University of Southern California; Hamid Nazerzadeh; Simeng Shao, University of Southern California
Fitting Bivariate Extreme Value Copulas with Polynomial Pickands Functions
Berwin Turlach, University of Western Australia
Bayesian Generalized Linear Model for Difference of Over or Under Dispersed Counts
Andrew W Swift, University of Nebraska At Omaha; Kimberly Sellers, Georgetown University
Adaptive Resistant Regression
Rui Mao, University of Toronto