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51 Mon, 8/3/2020, 10:00 AM - 2:00 PM Virtual
Recent Developments in Modeling High-Dimensional and Complex Data — Contributed Papers
SSC (Statistical Society of Canada)
Chair(s): Lisa M Lix, University of Manitoba
Study of Estimation Methods for Probability of Detection for Structural Health Monitoring
Emily O'Connor, The Boeing Company; Sabyasachi Basu, The Boeing Company; Jeong-Beom Ihn, The Boeing Company; James Dunne, The Boeing Company; Lawrence Pado, The Boeing Company
Box-Cox Transformations in High-Dimensional Linear Models
William Ruth, Simon Fraser University; Richard Lockhart, Simon Fraser University
Analyzing high-dimensional gene expression data by using the regularization techniques
Kumer Das, University of Louisiana At Lafayette; Aiden Kenny, Franklin and Marshall College; Danielle Solomon, St. John's University
Latent Class Models for Individual Participant Data Meta-Analyses of Diagnostic Test Accuracy Studies with Imperfect Reference Standards
Zelalem Negeri, McGill University; Brooke Levis, Keele University; Yin Wu, Department of Psychiatry, McGill University; Nandini Dendukuri, McGill University; Brett Thombs, Jewish General Hospital; Andrea Benedetti, McGill University
Model-Based Clustering and Classification Using Mixtures of Multivariate Skewed Power Exponential Distributions
Utkarsh Dang, Binghamton University; Michael Gallaugher, McMaster University; Ryan Browne, University of Waterloo; Paul McNicholas, McMaster University
Learning the Basis Function in a Semiparametric Density Ratio Model
Archer Zhang, University of British Columbia; Jiahua Chen, University of British Columbia