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CC = Baltimore Convention Center,    H = Hilton Baltimore
* = applied session       ! = JSM meeting theme

Activity Details

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