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Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Covariance matrix returned 11 record(s)
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Monday, 08/01/2016
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Testing the Sphericity of a Covariance Matrix When the Dimension Is Much Larger Than the Sample Size
Zeng Li, The University of Hong Kong
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What Can Be Learned from the Graphical Lasso? Generalizations of the Gaussian Assumption
Po-Ling Loh, University of Pennsylvania
8:35 AM
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Testing the Sphericity of a Covariance Matrix When the Dimension Is Much Larger Than the Sample Size
Zeng Li, The University of Hong Kong
8:55 AM
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Modeling and Inference for Multivariate Count Time Series
Konstantinos Fokianos, University of Cyprus; Paul Doukhan, University Cergy-Pontoise; Bard Stove, University of Bergen; Dag Tjostheim, University of Bergen
9:00 AM
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A Two-Sample Test for High-Dimensional Covariance Matrices via Sparse Principal Component Analysis
Lingxue Zhu, Carnegie Mellon University; Jing Lei, Carnegie Mellon University; Bernie Devlin, University of Pittsburgh School of Medicine; Kathryn Roeder, Carnegie Mellon University
10:35 AM
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On the Inference of the Spikes for the High-Dimensional Covariance Matrix Based on High-Frequency Data
Keren Shen; JIANFENG YAO, The University of Hong Kong; Wai Keung Li, The University of Hong Kong
11:05 AM
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