Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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425
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Tue, 8/1/2017,
3:05 PM -
3:50 PM
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CC-Halls A&B
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SPEED: Reliable Statistical Learning and Data Science — Contributed Poster Presentations
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Section on Statistical Learning and Data Science , Section on Physical and Engineering Sciences , International Statistical Institute
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Chair(s): Jessi Cisewski, Yale University
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The Speed portion will take place during Session 214539
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20:
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Estimating an Inverse Mean Subspace
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Jiaying Weng ; Xiangrong Yin, University of Kentucky
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21:
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Variable Selection on Functional Data Using Kernel Machine
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Haoyu Wang, North Carolina State University
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22:
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Expected Conditional HSIC for Testing Independence
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Chenlu Ke ; Xiangrong Yin, University of Kentucky
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23:
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Nonlinear Mixed-Effects Mixture Models for Clustering Longitudinal Data with an Application
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Chongshu Chen, University of Rochester
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24:
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Coefficient Estimation and Hypothesis Testing on Interval-Valued Data Regression by Measurement Error
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Yaotong Cai, University of Georgia ; lynne Billard, University of Georgia
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25:
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Quantifying Uncertainty in Latent Dirichlet Allocation
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Christine Chai, Duke University
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26:
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Learning from Imbalanced Data: a Review of Some Existing Methodologies
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Josephine Akosa, Oklahoma State University ; Melinda McCann, Oklahoma State University
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27:
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Tuning Variable Selection via Noise When Prediction Is Not the Primary Objective
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Eric Reyes, Rose-Hulman Institute of Technology ; Xiaomo Wang, Rose-Hulman Institute of Technology
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28:
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A Simulation Study to Evaluate Variable Importance Measures in Random and Conditional Inference Forests with Imputation for Data with Missing and Correlated Predictors
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Hung-Wen Yeh ; Rayus Kuplicki, Laureate Institute for Brain Research ; Trang Le, University of Tulsa ; Martin P. Paulus, Laureate Institute for Brain Research
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29:
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Sparse Network Tomography for Anomaly Detection
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Elizabeth Hou, University of Michigan ; Yason Yilmaz, University of South Florida ; Alfred Hero, University of Michigan
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30:
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High-Dimensional Discriminant Analysis for Spatially Correlated Data
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Yingjie Li, Michigan State University ; Tapabrata Maiti, Michigan State University
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32:
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Linear Combinations of Percentiles for Tests in the One Way Layout
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Yvonne Zubovic, Indiana University Purdue University Fort Wayne
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33:
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Multivariate Functional Data Clustering with Automatic Variable Selection
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Zhongnan Jin ; Yili Hong, Virginia Tech ; Qingyu Yang, Department of Industrial and Systems Engineering Wayne State University
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34:
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Robust Mode Detection Schemes in a Non-Stationary Environment
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Francois Alastair Marshall, Queen's University
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35:
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Statistical Challenges in Materials Mechanics: Microstructure to Performance
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Scott Vander Wiel, Los Alamos National Laboratory
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36:
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A New Multivariate Measure of Agreement in Method-Comparison Studies
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Sasiprapa Hiriote, Department of Statistics, Faculty of Science, SILPAKORN UNIVERSITY ; Vernon M Chinchilli, Department of Public Health Sciences, Penn State Hershey College of Medicine
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37:
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Using Bandit Algorithms on Changing Reward Rates
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Jeffrey Roach, OpenMail
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38:
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Supervised Binning Techniques for Predictive Modeling
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Zhen Zhang, C Spire ; Lei Zhang, Mississippi State Dept. of Health ; James Veillette, C Spire ; Kendell Churchwell, C Spire
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