Keyword Search
Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: principal component returned 32 record(s)
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Sunday, 07/30/2017
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Predicting Phenotypes from Microarrays Using Amplified, Initially Marginal, Eigenvector Regression
Lei Ding, Indiana University; Daniel J. McDonald, Indiana University
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Computation of Ancestry Scores with Mixed Families and Unrelated Individuals
Fred Wright, North Carolina State University; Yi-Hui Zhou, North Carolina State University; J. S. (Steve) Marron, University of North Carolina
2:50 PM
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A Powerful Rare-Variant Association Test
Zhongxue Chen; Tong Lin, Peking University; Kai Wang, University of Iowa
3:05 PM
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Distributed Statistical Estimation and Rates of Convergence in Normal Approximation
Stanislav Minsker, University of Southern California
3:05 PM
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Using Longitudinal Biomarker Data to Dynamically Predict Time to Disease Progression
Xuelin Huang, M D Anderson Cancer Center; Fangrong Yan, China Pharmaceutical Univeristy; Ruosha Li, University of Texas Health Science Center at Houston; Jing Ning, University of Texas MD Anderson Cancer Center; Xiao Lin, China Pharmaceutical University/MD Anderson Cancer Center
4:30 PM
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Monday, 07/31/2017
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Testing the Adequacy of Linear Mixed Effects Models
Stephanie Chen, North Carolina State University; Luo Xiao, North Carolina State University; Ana-Maria Staicu, North Carolina State University, Department of Statistics
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Testing the Adequacy of Linear Mixed Effects Models
Stephanie Chen, North Carolina State University; Luo Xiao, North Carolina State University; Ana-Maria Staicu, North Carolina State University, Department of Statistics
11:45 AM
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Optimal Variable Selection via Sparse Tensor Decomposition
Dong Wang, Princeton University
2:05 PM
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Interactive Graphics for Functional Data Analyzes
Julia Wrobel, Columbia University, Department of Biostatistics; So-Young Park, North Carolina State University, Department of Statistics; Ana-Maria Staicu, North Carolina State University, Department of Statistics; Jeff Goldsmith, Columbia University
2:35 PM
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Tuesday, 08/01/2017
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Functional Principal Component Logistic Regression Model for Online Arabic Handwriting Recognition
Amani Albaqshi, University of Northern Colorado; Khalil Shafie, University of Northern Colorado
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Generalized Bi-Plots for Visualized Multidimensional Projections
James Fry, Virginia Tech; Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech
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Generalized Bi-Plots for Visualized Multidimensional Projections
James Fry, Virginia Tech; Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech
8:50 AM
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Sparse Principal Component Analysis with Missing Observations
Seyoung Park; Hongyu Zhao, Yale University
8:50 AM
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On the Similarity of Principal Components, Random Projections and Random Column Subsampling for Dimension Reduction in High-Dimensional Linear Regression
Martin Slawski, George Mason Univ
9:05 AM
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Reconstruction of Spatio-Temporal Temperature from Sparse Historical Records Using Robust Probabilistic Principal Component Regression
John Tipton, Colorado State University; Mevin Hooten, Colorado State University; Simon Goring, Department of Geography, University of Wisconsin
2:05 PM
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Number of Cells to Identify a Novel Subpopulation from a Single Cell RNA Sequencing
Kyung In Kim, Jackson Laboratory
2:35 PM
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SHARP DETECTION in PCA UNDER CORRELATIONS
Edgar Dobriban, Stanford University
3:20 PM
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Wednesday, 08/02/2017
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Empirical Likelihood Methods on Functional Time Series Data
Guangxing Wang, University of California, Davis; Wolfgang Polonik, University of California, Davis
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A Significant Test for the Number of Orthogonal Components
Zhiyang Zhou, Simon Fraser University; Richard Lockhart, Simon Fraser University
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Dynamic Outlier Detection for Functional Data
Meredith King, North Carolina State University; Ana-Maria Staicu, North Carolina State University, Department of Statistics; Luo Xiao, North Carolina State University; Ciprian M Crainiceanu, Johns Hopkins University
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Functional Cox Model for Longitudinal Biomarkers
Jiehuan Sun, Department of Biostatistics, Yale Univeristy; Jose D. Herazo-Maya, Yale School of Medicine; Naftali Kaminski, Yale School of Medicine; Hongyu Zhao, Yale University
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Functional Cox Model for Longitudinal Biomarkers
Jiehuan Sun, Department of Biostatistics, Yale Univeristy; Jose D. Herazo-Maya, Yale School of Medicine; Naftali Kaminski, Yale School of Medicine; Hongyu Zhao, Yale University
9:40 AM
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Bayesian Estimation of Principal Components for Functional Data
Adam Justin Suarez, Monsanto Company; Subhashis Ghosal, North Carolina State University
10:35 AM
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Exploratory and Data Visualization Methods for High-Dimensional Brain Signals
Hernando Ombao, KAUST and UC Irvine; Yuxiao Wang, University of California, Irvine; Chee-Ming Ting, KAUST
11:00 AM
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Discovering Non-Genetic Hidden Variates in Gene Expression Data in the Presence of Polygenicity
Mark Abney
11:05 AM
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From Functional Data to Random Objects
Hans-Georg G Müller, University of California, Davis
11:15 AM
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In-Curve Updating of Predictions for Functional Time Series
Shuhao Jiao, Department of Statistics, UC Davis; Alexander Aue, University of California, Davis
2:05 PM
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Derivative Principal Component Analysis for Representing the Time Dynamics of Longitudinal and Functional Data
Xiongtao Dai, University of California, Davis; Hans-Georg G Müller, University of California, Davis ; Wenwen Tao, Quora
2:05 PM
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Efficient Estimation and Inference in Factor Models with Nonstationary Common And/Or Idiosyncratic Components
Haiqing Zhao, Purdue University; Mohitosh Kejriwal, Purdue University
2:20 PM
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A Useful Scatterplot Matrix for Principal Component Analysis
Santiago Velilla, Universidad Carlos III
2:20 PM
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Nested Hierarchical Functional Data Modeling and Inference for the Analysis of Functional Plant Phenotypes
Yuhang Xu, University of Nebraska-Lincoln; Yehua Li, Iowa State University; Dan Nettleton, Iowa State University
2:50 PM
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