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Monday, 08/05/2013
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Regularized Portfolio Optimization Using Constrained Hierarchical Bayes Models
Jiangyong Yin, Ohio State University; Xinyi Xu, Ohio State University
8:35 AM
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Two-Way Regularized Logistic Regression with Dynamic Image Regressors
T Siva Tian, University of Houston; Jianhua Z. Huang, Texas A&M University
9:50 AM
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Sparse Multivariate Factor Regression Models and Its Application to High-Throughput Array Data Analysis
Yan Zhou, University of Michigan; Peter X.K. Song, University of Michigan; Ji Zhu, University of Michigan
10:35 AM
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Tuning Parameter Selection in Bridge Regression Modeling
Shuichi Kawano, Osaka Prefecture University
10:50 AM
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Regularization on Multivariate Functional-Coefficient Regression Models
Jiancheng Jiang, The University of North Carolina at Charlotte
11:00 AM
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Measures of Robustness in Regularized Estimates
Giles Hooker, Cornell University
11:15 AM
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Thresholded Reduced-Rank Multivariate Regression
Ranye Sun, Texas A&M University; Mohsen Pourahmadi, Texas A&M University
11:20 AM
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EMVS: The EM Approach to Bayesian Variable Selection
Veronika Rockova, Erasmus University; Edward George, Wharton University of Pennsylvania
2:25 PM
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Multiscale Approximation in Function Spaces
Laurie Davies, University of Duisburg Essen
2:45 PM
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Structuring Dependence in Regression: Spherical Symmetry and Variable Selection
Christopher Hans, Ohio State University; Steven MacEachern, Ohio State University; Agniva Som, Ohio State University
2:45 PM
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Tuesday, 08/06/2013
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Variable Selection for Varying-Coefficient Models via the Elastic Net Regularization
Hidetoshi Matsui, Kyushu University; Toshihiro Misumi, Astellas Pharma Inc.
8:35 AM
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Semi-Supervised Model-Based Clustering with Regularized Covariance Matrix Estimation
Brad Price, University of Minnesota; Charles J. Geyer, University of Minnesota; Adam J. Rothman, University of Minnesota
9:20 AM
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Higher-Order Properties of the Bootstrap in High-Dimensional Problems
Soumendra N. Lahiri, North Carolina State University; Arindam Chatterjee, Indian Statistical Institute
9:35 AM
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Time Course Classification of Treatment Response for Psoriatic Patients
Joel Correa Da Rosa, Rockefeller University; James G. Krueger, Rockefeller University; Mayte Suarez-Farinas, Rockefeller University
9:50 AM
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Regularization and Estimation in Regression with Cluster Variables
Qingzhao Yu, LSU Health Sciences Center; Bin Li, Louisiana State University
10:35 AM
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Large Portfolio Allocation Using High-Frequency Financial Data
Jian Zou, Indiana University-Purdue University Indianapolis; Yichao Wu, NC State University
10:55 AM
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Regularization Methods for High-Dimensional Instrumental Variables Regression with an Application to Genetical Genomics
Wei Lin, University of Pennsylvania; Rui Feng, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
11:05 AM
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Multi-TGDR: An Extension of the Threshold Gradient Descent Regularization for Multiclass Classification of Microarray Experiments
Mayte Suarez-Farinas, Rockefeller University; Suyan Tian, First Hospital of the Jilin University
11:05 AM
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Bayesian Shrinkage in High Dimensions
Anirban Bhattacharya, Duke University
11:15 AM
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Screening Strategies for High-Dimensional Multiple Predictor, Multiple Response Data with an Application in Genomics
Anindya Bhadra, Purdue University; Mehdi Maadooliat, Marquette University; Mohsen Pourahmadi, Texas A&M University; Veera Baladandayuthapani, The University of Texas MD Anderson Cancer Center
3:25 PM
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