Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Principal Component returned 48 record(s)
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Sunday, 07/31/2016
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Statistical Methods for Rare Variant Test for Multiple Phenotypes
Diptavo Dutta; Seunggeun Lee, University of Michigan
2:20 PM
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Determining the Number of Components in a Generalized Spiked Population Model
Hyo Young Choi
2:35 PM
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Functional Multiple Indicators, Multiple Causes Measurement Error Models
Carmen Tekwe, Texas A&M University; Roger Zoh, Texas A&M University; Raymond Carroll, Texas A&M University; Guoyao Wu, Texas A&M University; Fuller Bazer, Texas A&M University
3:20 PM
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PDEs and Regularized Principal Component Analysis of Functional Connectivity Maps
Eardi Lila, University of Cambridge; John Aston, University of Cambridge; Laura Sangalli, Politecnico di Milano
4:30 PM
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Overlapping Community Detection in Networks via Sparse Principal Component Analysis
Jesus Daniel Arroyo Relion, University of Michigan; Elizaveta Levina, University of Michigan
4:50 PM
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Principal Axes Analyses of Distributional Data
Sun Makosso-Kallyth, McMaster University; Brahim Brahim, Big Data Visualizations Inc.
5:20 PM
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Monday, 08/01/2016
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Applying Functional Principal Component Analysis to Improve Life Span Prediction from Sleep Properties in the Fly
Luyang Wang, Missouri University of Science and Technology; Courtney Fiebelman, Missouri University of Science and Technology; Rachel Craft, Missouri University of Science and Technology; V A Samaranayake, Missouri University of Science and Technology; Gayla R. Olbricht, Missouri University of Science and Technology; Matthew S. Thimgan, Missouri University of Science and Technology
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A Statistical Algorithm for Phantom Clustering Using PPCA
Wei Q. Deng, University of Toronto; Radu V. Craiu, University of Toronto
9:05 AM
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A Two-Sample Test for High-Dimensional Covariance Matrices via Sparse Principal Component Analysis
Lingxue Zhu, Carnegie Mellon University; Jing Lei, Carnegie Mellon University; Bernie Devlin, University of Pittsburgh School of Medicine; Kathryn Roeder, Carnegie Mellon University
10:35 AM
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Application of Principal Components Analysis to Blood Metal Exposures in the National Health and Nutrition Examination Survey (NHANES) Data
Po-Yung Cheng, CDC; Mary Mortensen, CDC/NCEH; Robert Jones, CDC/NCEH; Kathleen Caldwell, CDC/NCEH
10:35 AM
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Supervised Functional Principal Component Analysis
Yunlong Nie, Simon Fraser University; Jiguo Cao, Simon Fraser University
10:35 AM
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A Geometric Approach to Confidence Regions and Bands for Functional Data
Hyunphil Choi, Penn State University; Matthew Reimherr, Penn State University
10:50 AM
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Optimal Bayes Classifiers for Functional Data and Density Ratios
Xiongtao Dai, Healthy Birth, Growth and Development knowledge integration (HBGDki) Community; Hans-Georg Mueller, University of California at Davis; Fang Yao, University of Toronto
10:50 AM
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Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains
Clara Happ, Ludwig-Maximilians-University Munich; Sonja Greven, Ludwig-Maximilians-University Munich
10:55 AM
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Functional Statistical Process Control Using Elastic Methods
James Derek Tucker, Sandia National Laboratories
11:20 AM
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A Two-Stage Approach to Analysis of Health Effects of Environmental Chemical Mixtures: Informed Sparse Principal Component Analysis Followed by Segmented Regression
Roman Jandarov, University of Cincinnati; Susan Pinney, University of Cincinnati; Liang Niu, University of Cincinnati
11:50 AM
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Optimal Design for Sampling Functional Data
So-Young Park, North Carolina State University; Luo Xiao, North Carolina State University; Jayson Wilbur, Metrum Research Group; Ana-Maria Staicu, North Carolina State University
2:05 PM
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Functional Data Analysis Approach for Using Longitudinal Biomarker to Predict Disease Progression
Xuelin Huang, MD Anderson Cancer Center; Fangrong Yan, China Pharmaceutical University/MD Anderson Cancer Center; Xiao Lin, China Pharmaceutical University
2:30 PM
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Region-Level Differential Methylation Testing with Smoothed Functional Principal Component Analysis
Mohamed Milad; Gayla R. Olbricht, Missouri University of Science and Technology
2:35 PM
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Tuesday, 08/02/2016
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Clustering of Omics Data in Biological Systems
Min Wang, Mathematical Biosciences Institute
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Modeling Heterogeneity in Motor Learning Using Heteroskedastic Functional Principal Components
Daniel Backenroth, Columbia Mailman School of Public Health; Jeff Goldsmith, Columbia Mailman School of Public Health; Tomoko Kitago, Columbia University Medical Center; John Krakauer, Johns Hopkins School of Medicine
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Supervised Integrated Principal Component Analysis
Gen Li, Columbia University; Sungkyu Jung, University of Pittsburgh
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Depicting Activity Profiles via Multilevel Functional Principal Component Analysis: Association and Prediction
Jiarui Lu, University of Pennsylvania; Lihong Cui, National Institute of Mental Health; Kathleen R. Merikangas , National Institute of Mental Health; Haochang Shou, University of Pennsylvania
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A New Approach to Dimensional Reduction for Volatility of a Stationary Multivariate Time Series
Chung Eun Lee, University of Illinois at Urbana-Champaign; Xiaofeng Shao, University of Illinois at Urbana-Champaign
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Landmark-Constrained Elastic Shape Analysis of Planar Curves
Justin Strait, The Ohio State University; Sebastian A. Kurtek, The Ohio State University; Emily Bartha, The Ohio State University; Steven N. MacEachern, The Ohio State University
8:35 AM
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Depicting Activity Profiles via Multilevel Functional Principal Component Analysis: Association and Prediction
Jiarui Lu, University of Pennsylvania; Lihong Cui, National Institute of Mental Health; Kathleen R. Merikangas , National Institute of Mental Health; Haochang Shou, University of Pennsylvania
9:00 AM
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Packing Inference of Correlation for an Arbitrarily Large Number of Variables
Kai Zhang, The University of North Carolina at Chapel Hill
9:50 AM
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Principal Nested Shape Space Analysis of Molecular Dynamics Data
Ian Dryden, University of Nottingham; Kwang-Rae Kim, University of Nottingham; Huiling Le, University of Nottingham
10:35 AM
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A New Approach to Dimensional Reduction for Volatility of a Stationary Multivariate Time Series
Chung Eun Lee, University of Illinois at Urbana-Champaign; Xiaofeng Shao, University of Illinois at Urbana-Champaign
10:45 AM
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Modeling Heterogeneity in Motor Learning Using Heteroskedastic Functional Principal Components
Daniel Backenroth, Columbia Mailman School of Public Health; Jeff Goldsmith, Columbia Mailman School of Public Health; Tomoko Kitago, Columbia University Medical Center; John Krakauer, Johns Hopkins School of Medicine
10:55 AM
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Supervised Integrated Principal Component Analysis
Gen Li, Columbia University; Sungkyu Jung, University of Pittsburgh
11:10 AM
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Optimal Detection of Weak Principal Components in High-Dimensional Data
Edgar Dobriban
2:05 PM
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On Two-Sample Tests in Functional Data Analysis with Dependent Errors
Jan Beran, University of Konstanz; Haiyan Liu, University of Konstanz; Klaus Telkmann, University of Konstanz
2:35 PM
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Estimation of Interpretable Growth Curves
Jianhui Zhou, Healthy Birth, Growth and Development knowledge integration (HBGDki) Community; Yin Zhang, University of Virginia; Rashidul Haque, International Centre for Diarrhoeal Diseas Research; William A. Petri, University of Virginia; Jennie Z. Ma, University of Virginia
2:45 PM
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Optimal Designs for Longitudinal Studies via Functional Data Analysis
Hao Ji, University of California at Davis; Hans-Georg Mueller, University of California at Davis
3:05 PM
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Dynamic PCA for Multiple Air Pollutants
Oleg Melnikov, Rice University; Katherine B. Ensor, Rice University; Loren Raun, Rice University
3:05 PM
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Wednesday, 08/03/2016
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Incorporating Biological Information in Sparse Principal Component Analysis with Application to Genomic Data
Ziyi Li, Emory University; Qi Long, Emory University; Sandra Safo, Emory University
8:35 AM
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Longitudinal Principal Component Analysis
Christopher Kinson, University of Illinois at Urbana-Champaign; Xiwei Tang, University of Illinois at Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
8:35 AM
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A Multidimensional Functional Principal Components Analysis of EEG Data
Damla Senturk, University of California at Los Angeles; Kyle Hasenstab, University of California at Los Angeles; Aaron Scheffler, University of California at Los Angeles; Donatello Telesca, University of California at Los Angeles; Catherine Sugar, University of California at Los Angeles; Shafali Jeste, University of California at Los Angeles
8:55 AM
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A Partial Likelihood Approach to Multivariate Multiscale Functional Data Analysis
Andrew Potter, University of Pittsburgh; Stewart J. Anderson, University of Pittsburgh
9:20 AM
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HPRM: Hierarchical Principal Regression Model of Diffusion Tensor Bundle Statistics
Jingwen Zhang; Hongtu Zhu, The University of North Carolina at Chapel Hill; Joseph G. Ibrahim, The University of North Carolina at Chapel Hill
9:35 AM
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Dating Structural Breaks in Functional Data Without Dimension Reduction
Ozan Sonmez, University of California at Davis; Alex Aue, University of California at Davis; Gregory Rice, University of Waterloo
11:20 AM
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Fully Bayesian Inference in Functional Principal Component Analysis for the Opioid Dependence Treatment Data
Jun Ye; Yehua Li, Iowa State University; Yongtao Guan, University of Miami
12:05 PM
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Construction of Tolerance Bounds for a Multivariate Response Associated with a Covariate: A Case Study
Caleb King, Sandia National Laboratories; Edward Thomas, Sandia National Laboratories; Jerome Cap, Sandia National Laboratories; Angela Montoya, Sandia National Laboratories
2:20 PM
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