Statistics: It's Essential
July 29 - August 3, 2017
Baltimore Convention Center
JSM 2017 Online Program
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Covariance matrices
returned 8 record(s)
Sunday, 07/30/2017
Testing and Scoring High-dimensional Covariance Matrices When Heteroscedasticity is Present
Xinghua Zheng, HKUST; Xinxin Yang, HKUST; Jiaqi Chen, Harbin Institute of Technology; Hua Li, Chang Chun University
5:20 PM
Monday, 07/31/2017
Bootstrapping Spectral Statistics in High Dimensions
Miles Lopes, UC Davis; Alexander Aue, University of California, Davis; Andrew Blandino, UC Davis
11:05 AM
A Factor Analysis Approach for Modeling the Structure of Time-Series Covariance Matrices
Teal Guidici; George Michailidis, University of Florida
2:35 PM
Tuesday, 08/01/2017
Multiple Testing with Close to Equally Correlated Correlation Structure
Boris Zaslavsky, FDA/CBER
11:35 AM
On Structure Testing for Component Covariance Matrices of a High-Dimensional Mixture
Jianfeng YAO, The University of Hong Kong; Weiming Li, Shanghai University of Finance and Economics
2:55 PM
Wednesday, 08/02/2017
Knowing Factors or Factor Loadings, or Neither? Evaluating Estimators of Large Covariance Matrices with Noisy and Asynchronous Data
Kun Lu, Princeton University; Chaoxing Dai, Booth School of Business University of Chicago; Dacheng Xiu, University of Chicago
2:50 PM
Thursday, 08/03/2017
Homogeneity Test of Covariance Matrices with High-Dimensional Longitudinal Data
Pingshou Zhong, Michigan State University; Runze Li, The Pennsylvania State University
9:35 AM
Eigenvalues of Covariance Matrices of High-Dimensional Time Series
Alexander Aue, University of California, Davis; Haoyang Liu, University of California, Berkeley; Debashis Paul, University of California, Davis
9:50 AM