International Workshop on the Perspectives on High-dimensional Data Analysis II

May 30 - June 1, 2012

Program
 

Wednesday, May 30, 2012
08:15 - 08:45
Registration and Coffee & Croissants
Room(s) 1221

08:45 - 09:00
Welcoming address
Room(s) 1140

Session - Plenary Talk
Chair : Peter X. Song
Meeting room(s) : 1140

09:00 - 10:00
Samuel Kou
(Harvard University)
Statistical computing in protein folding
Abstract

10:00 - 10:30
Coffee break
Room(s) 1221


Chair : David Stephens
Meeting room(s) : 1140

10:30 - 11:00
Shuangge Ma
(Yale University)
Marker selection in integrative analysis with heterogeneity model
Abstract
11:00 - 11:30
Lu Tian
(Stanford University School of Medicine)
A simple method for detecting interactions between a treatment and a large number of covariates
Abstract
11:30 - 12:00
Lee Dicker
(Rutgers University)
Optimal estimation and prediction for dense signals in high-dimensional linear models
Abstract
12:00 - 12:30
Nozer D. Singpurwalla
(George Washington University)
A problem in particle physics
Abstract

12:30 - 13:30
Lunch
Room(s) 1221


Chair : Joseph Verducci
Meeting room(s) : 1140

13:30 - 14:00
Yingying Fan
(University of Southern California)
Tuning parameter selection in high dimensional penalized likelihood
Abstract
14:00 - 14:30
Benedikt M. Pötscher
(University of Vienna)
Distributional results for thresholding estimators in high-dimensional Gaussian regression models
Abstract
14:30 - 15:00
Timothy D. Johnson
(University of Michigan)
A fast algorithm for the Poisson/Gamma random field model
Abstract
15:00 - 15:30
Hannes Leeb
(University of Vienna)
On the conditional distributions of low-dimensional projections from high-dimensional data
Abstract

15:30 - 16:00
Coffee break
Room(s) 1221


Chair : Yulia Gel
Meeting room(s) : 1140

16:00 - 16:30
Frank Konietschke (University of Goettingen)
Yulia Gel (University of Waterloo)
Multiple contrast tests and simultaneous confidence intervals in high-dimensional repeated measures designs
Abstract
16:30 - 17:00
Ruslan Salakhutdinov
(University of Toronto)
Learning hierarchical models
Abstract
17:00 - 17:30
Debashis Paul
(University of California, Davis)
Marcenko-Pastur law for time series
Abstract
17:30 - 18:00
Peng Wang
(Bowling Green State University)
High-dimensional inference function for random effects model with unspecified distribution
Abstract

18:00 - 19:30
Reception and Poster Session

 

Thursday, May 31, 2012
08:30 - 09:00
Coffee & Croissants
Room(s) 1221

Session - Plenary Talk
Chair : Ejaz Ahmed
Meeting room(s) : 1140

09:00 - 10:00
Kjell Doksum
(University of Wisconsin Madison)
On high dimensional data analysis and biomedical genomics
Abstract

10:00 - 10:30
Coffee break
Room(s) 1221


Chair : Xiaoli Gao
Meeting room(s) : 1140

10:30 - 11:00
Peter X. Song
(University of Michigan)
Study design in high-dimensional classification analysis
Abstract
11:00 - 11:30
Yichao Wu
(North Carolina State University)
Two-Dimensional Solution Surface for Weighted Support Vector Machines
Abstract
11:30 - 12:00
Yufeng Liu
(University of North Carolina at Chapel Hill)
Some aspects of large margin classifiers in high dimensions
Abstract
12:00 - 12:30
Jeongyoun Ahn
(University of Georgia)
HDLSS discrimination with adaptive data piling
Abstract

12:30 - 13:30
Lunch
Room(s) 1221


Chair : Shakhawat Hossain
Meeting room(s) : 1140

13:30 - 14:00
Bin Nan
(University of Michigan)
High-dimensional multivariate regression with grouped variables via convex regularization
Abstract
14:00 - 14:30
Zhigeng Geng
(University of Wisconsin Madison)
Group variable selection via convex Log-Exp-Sum penalty
Abstract
14:30 - 15:00
Michael Daniels
(University of Florida)
Estimating large correlation matrices by banding the partial autocorrelation matrix
Abstract
15:00 - 15:30
Xiaoli Gao
(Oakland University)
Joint linear trend recovery using L1 regularization
Abstract

15:30 - 16:00
Coffee break
Room(s) 1221


Chair : Masoud Asgharian
Meeting room(s) : 1140

16:00 - 16:30
Yang Feng
(Columbia University)
A nonparametric optimal decision rule in high dimensional space
Abstract
16:30 - 17:00
Hua Liang
(Univ. of Rochester Medical Ctr.)
Generalized additive partial linear models with high-dimensional covariates
Abstract
17:00 - 17:30
Ali Shojaie
(University of Washington)
Estimation of network Granger causal models with inherent group structures
Abstract
17:30 - 18:00
Anand Vidyashankar
(George Mason University)
Robustness, regularization, and efficiency in high dimensional data analysis
Abstract

19:30
Conference Banquet

 

Friday, June 1, 2012
08:30 - 09:00
Coffee & Croissants
Room(s) 1221


Chair : Yang Feng
Meeting room(s) : 1140

09:00 - 09:30
Jinchi Lv
(University of Southern California)
Model selection principles in misspecified models
Abstract
09:30 - 10:00
Xiaoming Huo
(Georgia Institute of Technology)
A new approach of functional estimation for high-dimensional inputs
Abstract
10:00 - 10:30
Guoqing Diao
(George Mason University)
Multivariate tests for high dimensional data
Abstract

10:30 - 11:00
Coffee break
Room(s) 1221


Chair : Abbas Khalili
Meeting room(s) : 1140

11:00 - 11:30
Joseph S. Verducci
(The Ohio State University)
Probability of concordance monster (PoCmon)
Abstract
11:30 - 12:00
Ali Ghodsi
(University of Waterloo)
Tesseramap: Dimensionality reduction by tessellation of linear subspaces with application in protein structure determination
Abstract
12:00 - 12:30
Shakhawat Hossain
(The University of Winnipeg)
Model selection and parameter estimation for a multinomial logistic regression model
Abstract
12:30 - 13:00
Shojaeddin Chenouri
(University of Waterloo)
Tree based local smoothing for dimensionality reduction
Abstract
13:00 - 13:30
Group Discussion: Future Research Directions (Moderators: Ejaz Ahmed, David Stephens, and Joseph Verducci)

13:30
Concluding Remarks and Next Meeting (Ejaz Ahmed)

Last modified : Tuesday, May 15, 2012 13:35