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Contributed Papers

Advances in High-dimensional, Variable Selection, and Dimension Reduction Techniques

Sun, Aug 4, 4:00 PM - 5:50 PM

Huan HeChair

Biometrics Section

6 Presentations

A simple and unified variable selection approach in multiply imputed datasets

4:05 PM - 4:20 PM

Shou-En Lu (Rutgers School of Public Health)

Co-authors: Yong Lin (Rutgers, The State University of New Jersey)

FDR Control for High Dimensional Quantile Variable Selection

4:20 PM - 4:35 PM

Tianhai Zu (University of Texas at San Antonio)

Co-authors: Zhigen Zhao (Temple University), Yan Yu (University of Cincinnati)

High-dimensional covariance regression with application to co-expression QTL mapping

4:35 PM - 4:50 PM

Rakheon Kim (Baylor University)

Co-authors: Emma Jingfei Zhang (Emory University)

High-dimensional, partial interaction analysis in case-only defined clusters

4:50 PM - 5:05 PM

Stefan Böhringer

Co-authors: Nelson Tang (The Chinese University of Hong Kong), Tjardo Maarseveen (Leiden University Medical Center), Rachel Knevel (Leiden University Medical Center)

Low-rank and sparse decomposition in multivariate regional quantile regression

5:05 PM - 5:20 PM

Sohyeon Kim (North Carolina State University)

Co-authors: Seyoung Park (Yale University), Eun Ryung Lee (Sungkyunkwan University)

Shrinkage methods for high-dimensional model-based clustering with contaminated matrix-valued data

5:20 PM - 5:35 PM

Armin Hatefi (Memorial University of Newfoundland)

Co-authors: Moein Yoosefi (Memorial University of Newfoundland)

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