This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Keyword Search

Keyword Search Criteria: principal component returned 29 record(s)
Sunday, 08/01/2010
On the Predictive Potential of Kernel Principal Components
Andreas Artemiou, Penn State; Bing Li, Penn State
2:35 PM

Evolutionary Factor Analysis of EEG Data
Giovanni Motta, Maastricht University; Hernando Ombao, Brown University
3:05 PM

Monday, 08/02/2010
Robust Principal Component Analysis?
Emmanuel Candes, Stanford University; Xiaodong Li, Stanford University; Yi Ma, Microsoft Research Asia; John Wright, Microsoft Research Asia
9:05 AM

Functional Additive Models
Fang Yao, University of Toronto; Hans-Georg Mueller, University of California, Davis
9:15 AM

Doubly Constrained Factor Models: Estimation and Applications
Henghsiu Tsai, Academia Sinica; Ruey S. Tsay, The University of Chicago
11:05 AM

Analysis of Multiple Random Functions via Dynamic Constraints
Jeng-Min Chiou, Academia Sinica; Hans-Georg Mueller, University of California, Davis
11:20 AM

PCA Consistency for High-Dimension, Low Sample Size Context
Sungkyu Jung, The University of North Carolina at Chapel Hill; J. S. Marron, The University of North Carolina at Chapel Hill
2:20 PM

Prediction via Sparse Kernel PCA
Tianxi Cai, Harvard School of Public Health
2:35 PM

Some Determinants of Student Performance in Introductory Statistics
Jenting Wang, State University of New York at Oneonta; Shuyi Tu, University of Michigan, Flint
2:50 PM

Review of Integrative Analysis Challenges in Systems Biology
Lei Zhu, GlaxoSmithKline; Kwan Lee, GlaxoSmithKline; Amit Bhattacharyya, GlaxoSmithKline; Edit Kurali, GlaxoSmithKline; Amber Anderson, GlaxoSmithKline
2:55 PM

Tuesday, 08/03/2010
Estimating the Subject by Treatment Interaction in Nonreplicated Crossover Diet Studies
Matthew Kramer, Agricultural Research Service; Shirley C. Chen, Agricultural Research Service; Sarah Gebauer, Agricultural Research Service; David Baer, Agricultural Research Service


Extreme Eigenvalues and Sparse Eigenvectors for Large Covariance Matrices
Iain Johnstone, Stanford University
9:05 AM

Profile Data in the Food Industry
Eric Lagergren, Kraft Foods; Wu Ge, Kraft Foods; Mahesh Padmanabhan, Kraft Foods
9:20 AM

Longitudinal Functional Principal Component Analysis
Ciprian Crainiceanu, The Johns Hopkins University
9:25 AM

Principal Components Analysis for Multivariate Point Processes
Victor Solo, University of New South Wales; Ahmed Pasha, University of New South Wales
10:50 AM

Robust Diagnostic Measures for the Functional Linear Model with Scalar Response
Nedret Billor, Auburn University; Pallavi Sawant, Auburn University
2:05 PM

Wednesday, 08/04/2010
A Relation Between the Exoplanets and Their Host Stars Based on Multivariate Analysis
Elizabeth Martinez Gomez, Penn State; Jogesh Babu, Penn State


Sparse Semisupervised Methods for Predicting Patient Survival Probabilities with Large-Scale Biological Data
Karthik Devarajan, Fox Chase Cancer Center
8:50 AM

Functional Principal Component Analysis of Density Families with Categorical and Continuous Data on Canadian Entrant Manufacturing Firms
Kim P. Huynh, Indiana University; David T. Jacho-Chavez, Indiana University; Robert J. Petrunia, Lakehead University; Marcel Cristian Voia, Carleton University
9:05 AM

Combining Principal Component Analysis with Parameter Line Searches to Construct Well-Designed Proposal Distributions for Metropolis-Hastings MCMC
David Andrew Kennedy, The University of Chicago; Vanja Dukic, The University of Chicago; Greg Dwyer, The University of Chicago
9:35 AM

Analysis of Global Warming Data: A Contrarian Data-Based View
Edward J. Wegman, George Mason University
10:35 AM

Statistical Inference in Factor Analysis for High-Dimension, Low-Sample-Size Data
Miguel Marino, Harvard University/Dana-Farber Cancer Institute; Yi Li, Harvard University/Dana-Farber Cancer Institute
10:50 AM

Longitudinal Functional Principal Component Analysis with Application to DTI Tractography Data
Sonja Greven, Ludwig-Maximilians-University Munich; Ciprian Crainiceanu, The Johns Hopkins University; Brian Scott Caffo, Johns Hopkins Bloomberg School of Public Health; Daniel Reich, National Institutes of Health
11:15 AM

Method for Summarizing User Segments Click and Conversion Responses to Internet Advertising and Its Applications
Jaimyoung Kwon, AOL Advertising; Benjamin Jackson, AOL Advertising; Rohan Mehta, AOL Advertising; Marius Holtan, AOL Advertising
2:20 PM

Robust Functional Principal Components Analysis for Skewed Distributions and Its Application to Outlier Detection
Liangliang Wang, The University of British Columbia; Nancy Heckman, The University of British Columbia; Matias Salibián-Barrera, The University of British Columbia
3:05 PM

Thursday, 08/05/2010
Joint Modeling of Paired Sparse Functional Data Using Principal Components
Lan Zhou, Texas A&M University; Jianhua Huang, Texas A&M University; Raymond Carroll, Texas A&M University
8:35 AM

Application of Sparse PCA via Regularized SVD to Neuroimaging Data
Bedda L. Rosario, University of Pittsburgh; Lisa A. Weissfeld, University of Pittsburgh; Julie C. Price, University of Pittsburgh
8:50 AM

A Penalized Matrix Decomposition, with Applications to Sparse Principal Components and Canonical Correlation Analysis
Daniela Witten, Stanford University; Rob Tibshirani, Stanford University; Trevor Hastie, Stanford University
9:25 AM

Defining Probability Density for a Distribution of Random Functions
Aurore Delaigle, The University of Melbourne; Peter Hall, The University of Melbourne
11:15 AM




2010 JSM Online Program Home

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