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Activity Details

351 Wed, 8/5/2020, 10:00 AM - 2:00 PM Virtual
Variable Selection and Computationally Intensive Methods — Contributed Papers
Section on Statistical Computing
Chair(s): Matthias Schonlau, University of Waterloo
Integration of Two RShiny Applications into the Growclusters Package with an Example Implementation
Randall Powers, U.S. Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics; Wendy Martinez, Bureau of Labor Statistics
Modeling Strategies for Quantile Regression with Zero-Inflated Discrete Responses
Xuan Shi, University of Kentucky; Derek Young, University of Kentucky; Carlos Lamarche, University of Kentucky
A Method for Sparse Monothetic Clustering
Paul Harmon, Montana State University; Mark Greenwood, Montana State University
Penalized Weibull Mixture Cure Models with High-Dimensional Predictors
Han Fu, The Ohio State University; Kellie J Archer, The Ohio State University
Sum of Kronecker Products Representation for Spatial Covariance Matrices and Its Factorization
Jian Cao, KAUST; Marc Genton, KAUST; David Keyes, King Abdullah University of Science and Technology; George Turkiyyah, American University of Beirut
A Scalable Approach to Estimating the Rank of High-Dimensional Data
Wenlan Zang, Yale University School of Public Health; Jen-hwa Chu, Yale University School of Medicine; Michael J Kane, Yale University School of Public Health