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Activity Details
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51
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Mon, 8/3/2020,
10:00 AM -
2:00 PM
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Virtual
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Recent Developments in Modeling High-Dimensional and Complex Data — Contributed Papers
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SSC (Statistical Society of Canada)
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Chair(s): Lisa M Lix, University of Manitoba
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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
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Box-Cox Transformations in High-Dimensional Linear Models
William Ruth, Simon Fraser University; Richard Lockhart, Simon Fraser University
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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
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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
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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
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Learning the Basis Function in a Semiparametric Density Ratio Model
Archer Zhang, University of British Columbia; Jiahua Chen, University of British Columbia
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