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Activity Details


440 Tue, 8/6/2013, 2:00 PM - 3:50 PM CC-220bc
Methods and Applications in High-Dimensional Data, Part 2 — Contributed Poster Presentations
Section on Statistical Learning and Data Mining , Biometrics Section
Chair(s): Guang Cheng, Purdue University
1: Delving into Megadata: Evolving Challenges
2: Composite large margin classifiers with latent subclasses
3: A Robust Likelihood Ratio Test for Testing Equal Means in the Presence of Unequal Variance
4: Simultaneous sparse estimation of canonical vectors in the p>>n setting
6: Creating Gains Tables and Lift Charts Using R
8: SPReM: Sparse Projection Regression Model For High-dimensional Linear Regression
9: Locally Epistatic Relationship Matrices for Genome Wide Association and Prediction
10: Variable selection for big data via bagging adaptive Lasso and precision shrinking
11: A Multivariate Single Index Model for Longitudinal Data with Application in Clinical Investigation
12: Overall Power Calculation for High Dimensional Design
13: Clustering to strengthen a categorical instrument
14: Variable Selection for High-Dimensional Multivariate Outcomes
15: Empirical Bayesian Incorporation of Method Selection into Massive Multiple Testing Analyses
16: Manifold regression for functional data
17: Domain-Interaction Functional Regression Models for Functions with Varying Domains
18: Risk prediction from electronic health record data: a Naïve Bayes approach
19: A flexible correlation structure for joint modeling of multivariate ordinal medication adherence data
20: Identifying Epigenomic Biomarkers for Anticancer Drug Responses by Integrating Gene Expression and DNA Methylation Profiles



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