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73 Sun, 8/7/2022, 5:05 PM - 5:50 PM CC-Hall D
SPEED: Statistical Computing and Statistics in Genomics Part 2 — Contributed Poster Presentations
Section on Statistical Computing, Section for Statistical Programmers and Analysts, Section on Statistical Graphics, Section on Statistics in Genomics and Genetics
Chair(s): Perla Reyes, Kansas State Universtiy
1: Treatment Effect on Ordinal Functional Outcome Using Piecewise Multistate Markov Model with Unobservable Baseline
Christy Cassarly, Medical University of South Carolina
2: Using the MiniMax Statistic to Integrate Partially Matched Multi-Omics Data
Gabriel J. Odom, Florida International University; Antonio Colaprico, University of Miami; Tiago Silva, University of Miami; Xi Steven Chen, University of miami; Lily Wang, University of Miami
3: Bayesian Hyperbolic Multi-Dimensional Scaling
Bolun Liu, Departments of Statistics, University of Washington; Tyler McCormick, University of Washington; Adrian E. Raftery, University of Washington; Shane Lubold, University of Washington
4: Correlation Testing for Inhomogeneous Random Graphs
Yukun Song, North Carolina State University; Minh Tang, North Carolina State University
5: High-Dimensional Nonlinear Spatio-Temporal Filtering Using Hierarchical Sparse Cholesky Factors
Anirban Chakraborty, Texas A&M University; Matthias Katzfuss, Texas A&M University
6: Functional Priors for Bayesian Deep Learning
Ba-Hien Tran, EURECOM; Simone Rossi, EURECOM; Dimitrios Milios, EURECOM; Pietro Michiardi, EURECOM; Maurizio Filippone, EURECOM
7: Uncertainty in Regridding for Statistical Downscaling of Solar Radiation
Maggie Bailey, Colorado School of Mines; Soutir Bandyopadhyay, Colorado School of Mines; Douglas Nychka, Colorado School of Mines
8: Using Krylov Subspace Methods for Large Scale Image Source Separation
Simon P Wilson, Trinity College Dublin; Dung P Pham, Trinity College Dublin; Kirk P Soodhalter, Trinity College Dublin
9: Visualizing Bivariate Statistics Using Ellipses Over a Scatter Plot
Jyotirmoy Sarkar, Indiana University-Purdue University Indianapolis; Mamunur Rashid, DePauw University; Siddhanta Phuyal, DePauw University
10: Bioinformatic Investigation of Zic Family of Transcription Factors in the Mature Cerebellum
Melyssa S Minto, Duke University
11: Finding Significant Communities in Cross-Correlation Networks Derived from Multi-View Data
Miheer Ulhas Dewaskar, Duke University
12: Detection of Fine-Scale Population Structure in Genetic Summary Data with Summix
Adelle Price, University of Colorado Denver; Katie Marker, University of Colorado Anschutz Medical Campus; Audrey Hendricks, University of Colorado Denver
13: A New Functional F-Statistic for Gene-Based Inference Involving Multiple Phenotypes
Adam Joseph Dugan, 23andMe, Inc.; Olga Vsevolozhskaya, University of Kentucky
14: Novel Taxa-Specific Normalization Method for Microbiome Sequencing Count Data
Ziyue Wang, NIH/National Institute of Environmental Health Sciences; Alison Motsinger-Reif, NIH/National Institute of Environmental Health Sciences; Shanshan Zhao, NIH/ National Institute of Environmental Health Sciences
15: Adjusting for Covariates in the Visualization of High-Dimensional Data
Angela Zhang, University of Washington; Michael C. Wu, Fred Hutchinson Cancer Research Center
16: Flexible Non-Parametric Tests of Sample Exchangeability and Feature Independence
Alan Aw, University of California, Berkeley; Yun Song, University of California, Berkeley; Jeffrey Spence, Stanford University
17: Demographic Profile and Factors of Homeownership Disparity in the United States
Rachel Richardson, Pacific Northwest National Laboratory - Battelle; David Degnan, Pacific Northwest National Laboratory - Battelle; Anastasiya Prymolenna, Pacific Northwest National Laboratory - Battelle; Natalie Winans, Pacific Northwest National Laboratory - Battelle; Lisa Bramer, Pacific Northwest National Laboratory - Battelle
18: An Analysis on the Impact of Socioeconomic Status on Success in School
Alyson Everett, Miami University; Thomas Fisher, The University of Miami - Ohio
19: Racial Disparity in County-Level Low-Income Job Loss Rate During the COVID-19 Pandemic
Zhenyu Xu, University of Connecticut; Anthony Zeimbekakis, University of Connecticut; Jun Yan, University of Connecticut