Keyword Search
Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
|
Keyword Search Criteria: Principal component returned 39 record(s)
|
|
Sunday, 07/29/2018
|
Sparse Functional Principal Component Analysis in a New Regression Framework
YUNLONG NIE, Simon Fraser University; Jiguo Cao, Simon Fraser University
|
Discrete Principal Component Analysis for Population Stratification
Nedret Billor, Auburn University; Yuan Yuan, Auburn University; Asuman Seda Turkmen, The Ohio State University
|
Tailoring PCA for Detecting Sparse Changes in Multi-Stream Data
Martin Tveten, University of Oslo; Ingrid Kristine Glad, University of Oslo
|
Gene Expression-Based Classification of Cancer Tumours via Penalized Probabilistic Principal Components Analysis
Wei Deng, University of Toronto; Radu V Craiu, University of Toronto
|
Discrete Principal Component Analysis for Population Stratification
Nedret Billor, Auburn University; Yuan Yuan, Auburn University; Asuman Seda Turkmen, The Ohio State University
2:05 PM
|
Optimal Timing of Stem Cell Transplant for Leukemia Patients
Xuelin Huang, University of Texas MD Anderson Cancer Center; Ruosha Li, University of Texas School of Public Health; Jorge Cortes, University of Texas MD Anderson Cancer Center
2:25 PM
|
Tailoring PCA for Detecting Sparse Changes in Multi-Stream Data
Martin Tveten, University of Oslo; Ingrid Kristine Glad, University of Oslo
2:30 PM
|
Gene Expression-Based Classification of Cancer Tumours via Penalized Probabilistic Principal Components Analysis
Wei Deng, University of Toronto; Radu V Craiu, University of Toronto
3:35 PM
|
Missing Data Issues in the Studies of Neurodegenerative Disorders: The Methodology
Sheng Luo, Duke University Medical Center; Kan Li, University of Texas Health Science Center
4:25 PM
|
Nonparametric Estimation of Sufficient Forecasting Using High-Dimensional Predictors
Xiufan Yu, Penn State University; Jiawei Yao, Citadel LLC; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
4:25 PM
|
|
Monday, 07/30/2018
|
Applying functional data analysis and clustering methods on weather forecast data in the U.S.
Yifan Wu, Simon Fraser University; Ying (Daisy) Yu, Simon Fraser University; Chuyuan (Cherlane) Lin, Simon Fraser University
|
Sensory Attributes That Highly Distinguish Products Do Not Necessarily Drive Consumer Liking of the Said Products
Jason Parcon, PepsiCo
9:05 AM
|
Evaluating Nonresponse Weighting Adjustment for the Population-Based HIV Impact Assessments Surveys: On Incorporating Survey Outcomes
Tien-Huan Lin, Westat; Ismael Flores Cervantes, Westat; Suzue Saito, ICAP at Columbia University; Rommel Bain, U.S. Centers for Disease Control and Prevention
9:05 AM
|
New Approach to Dimention Reduction for Volatility of Stationary Multivariate Time Series"
Chung Eun Lee, University of Tennessee, Knoxville; Xiaofeng Shao, University of Illinois at Urbana-Champaign
9:35 AM
|
Exploring Extreme Weather Phenomena by Decomposing Extremal Dependence
Dan Cooley, Colorado State University; Yujing Jiang, Colorado State University
11:00 AM
|
Matrix Decomposition for Modeling Multiple Sclerosis Lesion Development Processes
Menghan Hu, Brown University; Ani Eloyan, Brown University; Russell T. Shinohara, University of Pennsylvania Perelman School of Medicine; Ciprian Crainiceanu, Johns Hopkins University
11:05 AM
|
Sparse Functional Additive Models
Peijun Sang, Simon Fraser University; Liangliang Wang, Simon Fraser University; Jiguo Cao, Simon Fraser University
2:20 PM
|
Nonparametric Modeling of Longitudinal Compositional Data as Trajectories on the Sphere
Hans Mueller, UC Davis; Xiongtao G Dai, University of California, Davis
2:30 PM
|
Statistical Inference for High-Dimensional Time Series
Ruey S Tsay, University of Chicago, Booth School of Business
2:30 PM
|
|
Tuesday, 07/31/2018
|
A Study in the Use of Unsupervised Random Forest in the Analysis of Data Sets Composed of Categorical Variables/Features
Nelson Lee Afanador, Merck; Richard Baumgartner, Merck; Dai Feng, Merck
|
Functional Data Analysis in Dose-Adjusted Tacrolimus Trough Concentration Modeling: A New Method to Compare Intrapatient Variance Between Patient Cohorts
Janet Kim, Astellas Pharma Global Development, Inc.; Sam Wilson, Astellas Pharma Global Development, Inc.; Jason J Schwartz, Astellas Pharma Global Development, Inc.
|
On the Covariance Estimation and Principal Component Analysis for Spatially Dependent Functional Data
Haozhe Zhang, Iowa State University; Yehua Li, University of California, Riverside
9:05 AM
|
A Study in the Use of Unsupervised Random Forest in the Analysis of Data Sets Composed of Categorical Variables/Features
Nelson Lee Afanador, Merck; Richard Baumgartner, Merck; Dai Feng, Merck
9:20 AM
|
Sparse Functional Principal Component Analysis in a New Regression Framework
Yunlong Nie, Simon Fraser University; Jiguo Cao, Simon Fraser University
10:05 AM
|
Structural Learning and Integrative Decomposition of Multi-View Data
Irina Gaynanova, Texas A&M Univeristy; Gen Li, Columbia University
10:55 AM
|
Supervised Principal Component Regression for Functional Data with High-Dimensional Predictors
Xinyi Zhang, University of California, Berkeley; Dehan Kong, University of Toronto; Qiang Sun, University of Toronto
11:15 AM
|
Improved Accuracy Assessment for 3D Genome Reconstructions
Mark Segal, UCSF
11:50 AM
|
Functional Data Analysis in Dose-Adjusted Tacrolimus Trough Concentration Modeling: A New Method to Compare Intrapatient Variance Between Patient Cohorts
Janet Kim, Astellas Pharma Global Development, Inc.; Sam Wilson, Astellas Pharma Global Development, Inc.; Jason J Schwartz, Astellas Pharma Global Development, Inc.
11:55 AM
|
|
Wednesday, 08/01/2018
|
Application of Principal Components Analysis to Urine Metal and Metalloid Exposures in the National Health and Nutrition Examination Survey (NHANES) Data
Po-Yung Cheng, CDC; Robert L Jones, CDC; Kathleen L Caldwell, CDC
|
Application of Principal Components Analysis to Urine Metal and Metalloid Exposures in the National Health and Nutrition Examination Survey (NHANES) Data
Po-Yung Cheng, CDC; Robert L Jones, CDC; Kathleen L Caldwell, CDC
8:45 AM
|
Imputed Factor Regression for High-Dimensional Block-Wise Missing Data
Yanqing Zhang, Yunnan University; Niansheng Tang, Yunnan University; Annie Qu, University of Illinois at Urbana-Champaign
8:50 AM
|
Joint Analysis of Multiple Highly Correlated Biomarkers and an Event Time via a Longitudinal Principal Component Approach
Gang Li, UCLA
8:55 AM
|
Longitudinal Dynamic Functional Regression: Modeling and Inference
Md Islam, North Carolina State University; Ana-Maria Staicu, NC State University; Eric van Heugten, North Carolina State University
9:25 AM
|
Computing Conditional Density of Eigenvalues in High-Dimension
Yunjin Choi, National University of Singapore
10:55 AM
|
Partially Linear Functional Additive Models for Multivariate Functional Data
Yehua Li, University of California, Riverside; Raymond Wong, Texas A&M University; Zhengyuan Zhu, Iowa State University
2:05 PM
|
Robust Outlier Detection for Low and High-Dimensional Neuroimaging Data with Principal Components Analysis and Split-Half Resampling
Derek Beaton, Baycrest Health Sciences; Kelly M Sunderland, Baycrest Health Sciences; Abiramy Uthirakumaran, Baycrest Health Sciences; Stephen R Arnott, Baycrest Health Sciences; Robert Bartha, Robarts Research; Sandra E Black, Sunnybrook Health Sciences Centre; Leanne Casaubon, Krembil Research Institute; Morris Freedman, Baycrest Health Sciences; Richard H Swartz, Sunnybrook Health Sciences Centre; Sean Symons, Sunnybrook Health Sciences Centre; ONDRI Investigators, ONDRI; Malcolm A Binns, Baycrest Health Sciences; Stephen C Strother, Baycrest Health Sciences
2:05 PM
|
Semiparametric Modeling of Structured Point Processes Using Multi-Level Log-Gaussian Cox Processes
Yongtao Guan; Jingfei Zhang, University of Miami
2:45 PM
|
|
|
