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

Activity Details

531 Wed, 7/31/2019, 11:35 AM - 12:20 PM CC-Hall C
SPEED: Statistical Computing: Methods, Implementation, and Application, Part 2 — Contributed Poster Presentations
Section on Statistical Computing, Section for Statistical Programmers and Analysts
Chair(s): Michael Weylandt, Rice University
Oral Presentations for this session.
1: Sure Independence Screening (SIS) for Multiple Functional Regression Model
Yuan Yuan, Auburn University; Nedret Billor, Auburn University
2: 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
3: 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
4: Spatial DNA: Measuring Similarity of Geolocation Data Sets with Applications to Forensics
Christopher Galbraith, University of California, Irvine; Padhraic Smyth, University of California, Irvine
5: Sampling Using Langevin Diffusion
Riddhiman Bhattacharya, University of Minnesota
6: 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
7: 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
8: 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: 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
10: The Variance of the Interaction Term as Goal for Estimation
Iman Jaljuli, Tel-Aviv University; Yoav Benjamini, Tel Aviv University
11: 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
12: Spatial Location-Based Trajectory Modeling: Predicting the Success of an Crowdfunding Campaign
Han Yu, University of Northern Colorado
13: Embarrassingly Parallel Inference for Gaussian Processes
Michael Minyi Zhang, Princeton University; Sinead Williamson, UT Austin
15: Tensor Variate Models Applied to Sensor Data
Peter Tait, McMaster University; Paul D McNicholas, McMaster University
16: 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
17: Clustering Smoothed Dissimilarities in Tertiary Data: a Shrinkage-Based Approach
Bridget Manning, University of South Carolina; David Hitchcock, University of South Carolina
18: 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
19: Bootstrap in the Linear Model: a Comprehensive R Package
Megan Heyman, Rose-Hulman Institute of Technology
20: Tidi_MIBI: a Tidy Pipeline for Microbiome Analysis and Visualization in R
Charlie Carpenter, University of Colorado-Biostatistics