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CC = Vancouver Convention Centre   F = Fairmont Waterfront Vancouver
* = applied session       ! = JSM meeting theme

Activity Details

341 Tue, 7/31/2018, 10:30 AM - 12:20 PM CC-West 212
SPEED: Classification and Data Science — Contributed Speed
Section on Statistical Learning and Data Science, SSC
Chair(s): Jesse Cambon, Office of Immigration Statistics
Poster Presentations for this session.
10:35 AM Targeted Maximum Likelihood Estimation of Causal Effects Based on Observing a Single Time Series
Ivana Malenica; Mark van der Laan, UC Berkeley
10:40 AM Accessible Statistical Reports in R: Using R, Markdown, and Word to Create Accessible Reproducible Documents

Robert Montgomery, NORC; Peter Herman, NORC at the University of Chicago; Qiao Ma, NORC at the University of Chicago; Stephen Schacht, NORC at the University of Chicago
10:45 AM Differentiable Approximations of Hidden Markov Models for Variational Bayesian Inference
Lun Yin, Duke Institute for Brain Sciences; John Pearson, Duke University
10:50 AM How to Effectively Communicate Misunderstood Statistical Terms

Hoiyi Ng, Amazon; Paavni Rattan, Amazon
10:55 AM Aggregated Pairwise Classification of Statistical Shapes with Optimal Points of Projection

Min Ho Cho, The Ohio State University; Sebastian Kurtek, The Ohio State University; Steve MacEachern, The Ohio State University
11:00 AM Supervised Dimension Reduction for Large-Scale Genomic Data with Censored Survival Outcomes Under Possible Non-Proportional Hazards

Lauren Spirko, Temple University; Karthik Devarajan, Fox Chase Cancer Center
11:05 AM Improving a Predictive Model of Student Progress in an Online Course by Adding Learned Features from Unstructured Text Data
Huafeng Zhang, The Refugee Center Online
11:10 AM Classification via Product Conditional Density Estimates: Blending LDA and QDA

Jiae Kim; Steve MacEachern, The Ohio State University
11:15 AM Comparison of Missing Data Methods in the Use of LASSO Regression for Model Selection with Applications to the National Trauma Data Bank

Sarah B Peskoe, Duke University; Tracy Truong, Duke University; Lily R Mundy, Duke University School of Medicine; Ronnie L Shammas, Duke University School of Medicine; Scott T Hollenbeck, Duke University School of Medicine
11:20 AM An Alternative to the Carnegie Classifications: Using Structural Equation Models to Identify Similar Doctoral Institutions
Paul Harmon, Montana State University; Sarah McKnight, Montana State University; Laura Hildreth, Montana State University; Ian C. Godwin, Montana State University Office of Planning and Analysis; Mark Greenwood, Montana State University
11:30 AM Efficient Semiparametric Generalized Linear Models Based on Exponentially Tilted Splines

William H Aeberhard, Dalhousie University; Mark Hannay, Intrum Justitia CH
11:35 AM A Machine Learning (ML) Approach to Prognostic and Predictive Covariate Identification for Subgroup Analysis and Hypotheses Generation

David A James, Novartis
11:40 AM A Direct Approach to High-Dimensional Error-In-Variables Regression

Yunan Wu, University of Minnesota; Lan Wang, University of Minnesota
11:45 AM A Modified Approach to Component-Wise Gradient Boosting for High-Dimensional Regression Models

Brandon Butcher, University of Iowa; Brian J. Smith, University of Iowa
11:50 AM Efficient Big Data Model Selection with Applications to Fraud Detection
Gregory Vaughan, Bentley University
11:55 AM Predicting Overflow: A Novel Application of Latrine Sensors and Machine Learning for Optimizing Sanitation Services in Informal Settlements

Phillip Turman-Bryant, Portland State University; Evan Thomas, Portland State University
12:00 PM Undergraduate Data Science Statistics Pathways: What Is Needed for Entry into the Major?

Rebecca Hartzler, Charles A. Dana Center, University of Texas at Austin; Nicholas J. Horton, Amherst College
12:05 PM Assessing Divide-and-Conquer Latent Class Analysis

Qiao Ma, NORC at the University of Chicago; Meimeizi Zhu, NORC at the University of Chicago; Edward Mulrow, NORC at the University of Chicago
12:10 PM Lookalike Audience Modeling
Sam Hawala, Resonate-Networks