90
Sun, 7/28/2019,
8:30 PM -
10:30 PM
CC-Hall C
Invited EPoster Session — Invited Poster Presentations
ASA
Chair(s): Wendy Meiring, University of California At Santa Barbara
1:
A Geometric Approach to Pairwise Bayesian Alignment of Functional Data Using Importance Sampling
Sebastian Kurtek, Ohio State University
2:
Radiomic Analysis of Computed Tomography (CT) of the Lung -- Useful Biomarker for Lung Diseases?
Sarah Ryan ; Tasha Fingerlin, National Jewish Health; Lisa Maier, National Jewish Health
3:
Does Simulation-Based Inference Improve Student Understanding/Retention/Attitudes?
Beth Chance, Cal Poly - San Luis Obispo ; Nathan Tintle, Dordt College
4:
Object Data Analysis
Seunghee Choi, Florida State University ; Victor Patrangenaru, Florida State University; Rob L. Paige, Missouri S & T
5:
Black-Box Inference: Efficient, Scalable, Model-Free Tests for Variable Importance
Timothy Coleman, University of Pittsburgh ; Lucas Mentch, University of Pittsburgh
6:
Neuroconductor: An R Platform for Medical Imaging Analysis
Ciprian Crainiceanu, Johns Hopkins University
7:
A Data Driven Approach to Promoting Innovation and Excellence in Teaching at Higher Education Institutions
Kameryn Denaro, University of California, Irvine
8:
Storm Surge Model Emulation and Sensitivity Analysis Using Bayesian Adaptive Splines
Devin Francom, Los Alamos
9:
Calibrating Imperfect Geophysical Models by Fusing Data from Multiple Sources
Mengyang Gu, Johns Hopkins University
10:
Distributed Bayesian Inference for Massive Scale Spatial/Spatio-Temporal Data
Rajarshi Guhaniyogi, University of California, SC
11:
Data Science Through Data Visualization in the Intro Course
Stacey Hancock, Montana State University
12:
A Case Study Comparison of Predictive Accuracy and Uncertainty Quantification Among Methods for Analyzing Large Spatial Data
Matthew Heaton, Brigham Young University
13:
Uncertainty Quantification and Bayesian Model Calibration Applied to Stochastic Systems
David Higdon, Virginia Tech
14:
Estimating Heat Diffusion in the Firn of the Greenland Ice Sheet
Snehalata Huzurbazar, West Virginia University ; Neil Humphrey, University of Wyoming
15:
Making an Impact in an Institutional Research Office: On Data Champions and Machine Learning
Richard Levine, San Diego State University ; Juanjuan Fan, San Diego State University; Joshua Beemer, San Diego State University; Jeanne Stronach, San Diego State University
16:
Switching Regimes High-Dimensional Time Series Models with Application to Dynamic Brain Connectivity
Hernando Ombao, King Abdullah University of Science and Technology (KAUST)
17:
Assessing Internal Variability with Few Ensemble Runs
Dorit Hammerling, National Center for Atmospheric Research
18:
A Simple and Consistent Estimator of Variance Explained for Vertex-Wide Structural Brain Imaging
Wesley Kurt Thompson, University of California, San Diego
19:
Deep Pixel-To-Pixel Learning for Single-Stage Nucleus Recognition in Digital Pathology Images
Fuyong Xing, University of Colorado Anschutz Medical Campus
20:
A Spatio-Temporal Model for Ecological Colonization, Growth, and Regulation
Perry J. Williams, University of Nevada, Reno ; Xinyi Lu, Colorado State University; Mevin Hooten, Colorado Cooperative Fish and Wildlife Research Unit, Colorado State University; Jamie Womble, National Park Service, Southeast Alaska Inventory and Monitoring Network; Michael Bower, National Park Service, Southeast Alaska Inventory and Monitoring Network; George Esslinger, Alaska Science Center, U.S. Geological Survey
21:
Discovering Linear Biosignatures for Treatment Response: a Convexity-Based Clustering Approach
Thaddeus Tarpey, New York University
22:
Estimating High Mountain Snow Cover by Blending Satellite Data Products
William Kleiber, University of Colorado
23:
Educational Fun at Your Fingertips!
Dennis Pearl, Penn State University ; Lawrence M Lesser, The University of Texas at El Paso
24:
A New Approach to Bayesian Image Analysis
John Kornak, University of California, San Francisco
25:
Nonparametric Anomaly Detection on Time Series of Graphs
Dorcas Ofori-Boateng
26:
Object Oriented Data Analysis
Steve Marron , University of North Carolina at Chapel Hill
27:
How to Lie with fMRI
Martin Lindquist, Johns Hopkins University
28:
An Overview of Functional Magnetic Resonance Imaging: Big Data Meets the Brain
Nicole Lazar, University of Georgia
29:
Locally Stationary Interpolation of Argo Float Data for Improved Estimates of Ocean Climate
Mikael Kuusela, Carnegie Mellon University
30:
Practical Heteroskedastic Gaussian Process Modeling for Large Simulation Experiments
Robert Gramacy, Virginia Tech
31:
Inference in the Fréchet Regression Model for Random Objects
Alexander Petersen, University of California, Santa Barbara
