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

Activity Details

181 Mon, 7/29/2019, 10:30 AM - 11:15 AM CC-Hall C
SPEED: Statistical Learning and Data Science Speed Session 1, Part 2 — Contributed Poster Presentations
Section on Statistical Learning and Data Science
Chair(s): Ali Shojaie, University of Washington
Oral Presentations for this session.
1: 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
2: Using Factor Analysis in Variable Selection and Clustering of US Mass Shooting Incidents
John McMorris; Yew-Meng Koh, Hope College
3: Model Selection for Mixture of Experts Using Group Fused Lasso
Tuan Do, University of South Carolina; Karl Gregory, University of South Carolina
4: Deep Learning and MARS: a Connection
Sophie Langer, Technische Universitaet Darmstadt; Michael Kohler, Technische Universitaet Darmstadt; Adam Krzyzak, Concordia University
5: Distance and Kernel Measures of Conditional Independence
Tianhong Sheng, The Pennsylvania State University; Bharath Sriperumbudur, The Pennsylvania State University
6: Sparse Functional Principal Component Analysis in High Dimensions
Xiaoyu Hu, peking university; Fang Yao, peking university
7: Activation Adaptation in Neural Networks
Vahid Partovi Nia, Huawei Technologies, Ecole Polytechnique de Montreal; Farnoush Farhadi, Ericsson ; Andrea Lodi, Ecole Polytechnique de Montreal
8: 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: 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
10: Cross-Validation for Correlated Data
Assaf Rabinowicz, Tel-Aviv University; Saharon Rosset, Tel Aviv University
11: Inference for Measurement Error Model Under High-Dimensional Settings
Mengyan Li, Penn State University; Yanyuan Ma, The Pennsylvania State University
12: 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
13: 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
14: Quantile Regression Under Memory Constraint
Yichen Zhang, New York University; Xi Chen, New York University; Weidong Liu, Shanghai Jiaotong University
15: 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
16: Topological Survival Analysis for the Comparison of Random Fields
Hollie Johnson
17: 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
18: Mallows Model Averaging of Support Vector Machine Classfiers and Regressors
Francis Kiwon, McMaster University
19: 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
20: 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