465
Wed, 7/31/2019,
8:30 AM -
10:20 AM
CC-501
SPEED: Statistical Computing: Methods, Implementation, and Application, Part 1 — Contributed Speed
Section on Statistical Computing
Chair(s): Michael Weylandt, Rice University
Poster Presentations
for this session.
8:35 AM
Sure Independence Screening (SIS) for Multiple Functional Regression Model
Yuan Yuan, Auburn University ; Nedret Billor, Auburn University
8:40 AM
Creation of Two R Shiny Applications to Illustrate and Accompany the growClusters Package
Randall Powers, U.S. Bureau of Labor Statistics ; Terrance Savitsky, Bureau of Labor Statistics; Wendy L Martinez, Bureau of Labor Statistics
8:45 AM
Generalized Causal Mediation and Path Analysis and Its R Package “gmediation”
Jang Ik Cho, Eli Lilly and Company ; Jeffrey M Albert, Case Western Reserve University
8:50 AM
Spatial DNA: Measuring Similarity of Geolocation Data Sets with Applications to Forensics
Christopher Galbraith, University of California, Irvine ; Padhraic Smyth, University of California, Irvine
8:55 AM
Sampling Using Langevin Diffusion
Riddhiman Bhattacharya, University of Minnesota
9:00 AM
Rapid Numerical Approximation of Spatial Covariance Functions Over Irregular Data Regions
Peter Simonson, Colorado School of Mines ; Doug Nychka, Colorado School of Mines; Soutir Bandyopadhyay, Colorado School of Mines
9:05 AM
Predicting Lattice Reduction on Ideal Lattices (PeRIL)
Bryan Ek, Space and Naval Warfare Systems Center Atlantic ; Bryan Williams, Space and Naval Warfare Systems Center Atlantic; Emily Nystrom, Naval Information Warfare Center Atlantic; Jamie Lyle, Space and Naval Warfare Systems Center Atlantic; Peter Curry, Space and Naval Warfare Systems Center Atlantic; Scott Batson, Space and Naval Warfare Systems Center Atlantic
9:10 AM
Exact Inference for Analyzing Contingency Tables in Finite Populations
Shiva Dibaj, UT MD Anderson Cancer Center ; Gregory Wilding, SUNY at Buffalo; Graham Warren, University of Kentucky
9:15 AM
A Simple Recipe for Making Accurate Parametric Inference in Finite Sample
Mucyo Karemera, Penn State University ; Stephane Guerrier, University of Geneva; Samuel Orso, University of Geneva; Maria-Pia Victoria-Feser, University of Geneva
9:20 AM
The Variance of the Interaction Term as Goal for Estimation
Iman Jaljuli, Tel-Aviv University ; Yoav Benjamini, Tel Aviv University
9:30 AM
A New Approach in Distribution Fitting for Grouped Data and Its Application in Measuring Income Distribution
Ying-Ju Chen, University of Dayton ; Tatjana Miljkovic, Miami University
9:35 AM
Spatial Location-Based Trajectory Modeling: Predicting the Success of an Crowdfunding Campaign
Han Yu, University of Northern Colorado
9:40 AM
Embarrassingly Parallel Inference for Gaussian Processes
Michael Minyi Zhang, Princeton University ; Sinead Williamson, UT Austin
9:45 AM
Tidi_MIBI: a Tidy Pipeline for Microbiome Analysis and Visualization in R
Charlie Carpenter, University of Colorado-Biostatistics
9:50 AM
Tensor Variate Models Applied to Sensor Data
Peter Tait, McMaster University ; Paul D McNicholas, McMaster University
9:55 AM
Using Information Criteria to Select Among Polynomial and “truly” Nonlinear Multilevel Models
Wendy Christensen, University of California, Los Angeles ; Jennifer Krull, University of California, Los Angeles
10:00 AM
Clustering Smoothed Dissimilarities in Tertiary Data: a Shrinkage-Based Approach
Bridget Manning, University of South Carolina ; David Hitchcock, University of South Carolina
10:05 AM
Incorporating Spatial Statistics into Routine Analysis of Agricultural Field Trials
Julia Piaskowski, University of Idaho ; Chad Jackson, University of Idaho; Juliet Marshall, University of Idaho; William J Price, University of Idaho
10:10 AM
Bootstrap in the Linear Model: a Comprehensive R Package
Megan Heyman, Rose-Hulman Institute of Technology
10:15 AM
Floor Discussion