Keyword Search
Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Principal Component Analysis returned 18 record(s)
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Wednesday, 08/02/2017
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Empirical Likelihood Methods on Functional Time Series Data
Guangxing Wang, University of California, Davis; Wolfgang Polonik, University of California, Davis
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A Significant Test for the Number of Orthogonal Components
Zhiyang Zhou, Simon Fraser University; Richard Lockhart, Simon Fraser University
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Dynamic Outlier Detection for Functional Data
Meredith King, North Carolina State University; Ana-Maria Staicu, North Carolina State University, Department of Statistics; Luo Xiao, North Carolina State University; Ciprian M Crainiceanu, Johns Hopkins University
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Functional Cox Model for Longitudinal Biomarkers
Jiehuan Sun, Department of Biostatistics, Yale Univeristy; Jose D. Herazo-Maya, Yale School of Medicine; Naftali Kaminski, Yale School of Medicine; Hongyu Zhao, Yale University
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Functional Cox Model for Longitudinal Biomarkers
Jiehuan Sun, Department of Biostatistics, Yale Univeristy; Jose D. Herazo-Maya, Yale School of Medicine; Naftali Kaminski, Yale School of Medicine; Hongyu Zhao, Yale University
9:40 AM
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Discovering Non-Genetic Hidden Variates in Gene Expression Data in the Presence of Polygenicity
Mark Abney
11:05 AM
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Derivative Principal Component Analysis for Representing the Time Dynamics of Longitudinal and Functional Data
Xiongtao Dai, University of California, Davis; Hans-Georg G Müller, University of California, Davis ; Wenwen Tao, Quora
2:05 PM
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A Useful Scatterplot Matrix for Principal Component Analysis
Santiago Velilla, Universidad Carlos III
2:20 PM
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