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ICSA Student Travel Awards

The Student travel award is sponsored by the Annual ICSA Applied Statistics symposium. The main purpose of the award is to encourage student members of ICSA to participate and present their research work at the annual symposium. Up to 3 travel award winners will be selected by the Awards Committee annually.

The recipients of the “ICSA Student Travel Award" will present the award papers at an invited paper session entitled “ICSA Student Award Session” during the symposium. Each recipient will also receive a plaque commemorating the event and the same monetary sum as the Jiann-Ping Hsu Pharmaceutical and Regulatory Sciences Student Paper Award.




Year Student Travel Award Recipients
2010

Xu He, University of Wisconsin-Madison
Subgroups defined by two or more genetic markers in genome-wide association studies

Miguel Marino, Harvard School of Public Health,
Statisticsal Inference in Factor Analysis for High-Dimensional, Low-Sample Size Data: Understanding the Change Patterns of the US Cancer Mortality Rates

Xingye Qiao, Dept. of Statistics and Operations Research, University of North Carolina, Chapel Hill
Pairwise Variable Selection for Classification

Sihai Dave Zhao, Dept. of Biostatistics, Harvard School of Public Health,
Principled sure independence screening for Cox models with ultra-high-dimensional covariates

2009 Jane Paik, Columbia University
Semiparametric Inference of Linear Transformation Models with Lenth-Biased Censored Data

Nengfeng Zhou, University of Michigan
Group Variable Selection via a Hierarchical LASSO and its Oracle Property

Hung Hung, National Taiwan University
Nonparametric Methodology for the Time-Dependent Partial Area under the ROC Curve
2008 Michael C. Wu, Harvard University
Use of Sparse Linear Discriminant Analysis in Testing Gene Pathways

Min Yuan, University of Science and Technology of China
Two-stage Genome-wide Association Studies with DNA Pooling and Genetic Model Selection

Megan Othus, Harvard University
A Class of Semiparametric Mixture Cure Survival Models with Dependent Censoring
2007 Xiao Ni, North Carolina State University
Automatic model selection for partial linear models

Clifford Lam, Princeton University
Profile-kernel likelihood inference with diverging number of parameters

Ping Bai, University of North Carolina - Chapel Hill
Robust singular value decomposition and its application to independent component analysis for fMRI

2006 Fang Yu, University of Connecticut
Bayesian Analysis of EST Data with Multiple Libraries and Multiple Types of Tissues

Xin He, University of Missouri-Columbia
Regression Analysis of Multivariate Panel Count Data

Minggen Lu, The University of Iowa
Estimation of the Mean Function with Panel Count Data Using Monotone Polynomial Splines

Pang Du, Purdue University
Nonparametric Smoothing Spline model for Gap Time Hazard Function in Recurrent Event Data
2005 Haipen Xing, Stanford University
Change-point stochastic regression models with applications to econometric time series

Chong Wang, Cornell University
Bayesian non-parametric estimation of ROC curves when the true disease state is unknown