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CC = Colorado Convention Center   H = Hyatt Regency Denver at Colorado Convention Center
* = applied session       ! = JSM meeting theme

Activity Details

127 Mon, 7/29/2019, 8:30 AM - 10:20 AM CC-501
SPEED: Statistical Learning and Data Science Speed Session 1, Part 1 — Contributed Speed
Section on Statistical Learning and Data Science
Chair(s): Ali Shojaie, University of Washington
Poster Presentations for this session.
8:35 AM Comparing Time Series Graphical Lasso and Sparse VAR Algorithms
Aramayis Dallakyan, Texas A&M University; Rakheon Kim, Texas A&M University; Mohsen Pourahmadi, Texas A&M University
8:40 AM Using Factor Analysis in Variable Selection and Clustering of US Mass Shooting Incidents

John McMorris; Yew-Meng Koh, Hope College
8:45 AM Model Selection for Mixture of Experts Using Group Fused Lasso

Tuan Do, University of South Carolina; Karl Gregory, University of South Carolina
8:50 AM Deep Learning and MARS: a Connection

Sophie Langer, Technische Universitaet Darmstadt; Michael Kohler, Technische Universitaet Darmstadt; Adam Krzyzak, Concordia University
8:55 AM Distance and Kernel Measures of Conditional Independence
Tianhong Sheng, The Pennsylvania State University; Bharath Sriperumbudur, The Pennsylvania State University
9:00 AM Sparse Functional Principal Component Analysis in High Dimensions
Xiaoyu Hu, peking university; Fang Yao, peking university
9:05 AM Activation Adaptation in Neural Networks

Vahid Partovi Nia, Huawei Technologies, Ecole Polytechnique de Montreal; Farnoush Farhadi, Ericsson ; Andrea Lodi, Ecole Polytechnique de Montreal
9:10 AM Multiple Imputation Versus Machine Learning: Predictive Models to Facilitate Analyzes of Association Between Contemporaneous Medicaid/CHIP Enrollment Status and Health Measures
Jennifer Rammon, National Center for Health Statistics/CDC; Yulei He, CDC; Jennifer Parker, CDC/NCHS/OAE/SPB
9:15 AM A Greedy-Type Variable Selection Procedure for Selecting High-Dimensional Cox Models
Chien-Tong Lin; Yu-Jen Cheng, National Tsing Hua University; Ching-Kang Ing, National Tsin Hua University
9:20 AM Cross-Validation for Correlated Data

Assaf Rabinowicz, Tel-Aviv University; Saharon Rosset, Tel Aviv University
9:30 AM Inference for Measurement Error Model Under High-Dimensional Settings

Mengyan Li, Penn State University; Yanyuan Ma, The Pennsylvania State University
9:35 AM Does T-SNE Identify False Structure? Implications of Clusterability on T-SNE Maps

Paul Harmon, Montana State University; Mark Greenwood, Montana State University; Tristan Anacker, Montana State University
9:40 AM Visual Diagnostics of a Model Explainer: Tools for the Assessment of LIME Explanations from Random Forests

Katherine Goode, Iowa State University; Heike Hofmann, Iowa State University
9:45 AM Quantile Regression Under Memory Constraint

Yichen Zhang, New York University; Xi Chen, New York University; Weidong Liu, Shanghai Jiaotong University
9:50 AM Equilibrium Metrics for Dynamic Supply-Demand Networks

Fan Zhou, University of North Carolina at Chapel Hill; Hongtu Zhu, DiDi Chuxing and UNC-Chapel Hill; Jieping Ye, Didi Chuxing
9:55 AM Topological Survival Analysis for the Comparison of Random Fields

Hollie Johnson
10:00 AM Curve Registration to Identify Circadian Rhythm Chronotypes in Accelerometer Data

Erin McDonnell, Columbia University; Julia Wrobel, Columbia University; Jeff Goldsmith, Columbia University; Vadim Zipunnikov, Johns Hopkins University
10:05 AM Mallows Model Averaging of Support Vector Machine Classfiers and Regressors

Francis Kiwon, McMaster University
10:10 AM To Select or Not to Select? Variable Selection in the Estimation of Drug Use Prevalence in Denmark

Anne Helby Petersen, University of Copenhagen; Niels Keiding, University of Copenhagen
10:15 AM Efficient Randomized Algorithms for Continuous Space Reinforcement Learning

Mohamad Kazem Shirani Faradonbeh, University of Florida; Ambuj Tewari, University of Michigan; George Michailidis, University of Florida