60
Sun, 8/8/2021,
6:45 PM -
7:30 PM
Virtual
Invited E-Poster Session II — Invited Poster Presentations
ASA
Chair(s): Ana-Maria Staicu, North Carolina State University
01:
Random Lie Brackets That Induce Torsion: A Model for Noisy Vector Fields
Sayan Mukherjee, Duke University
02:
Active Learning for Deep Gaussian Process Surrogates
Robert B Gramacy, Virginia Tech ; Annie Sauer, Virginia Tech; David Higdon, Virginia Tech
03:
Methods to Reducing Bias in the Gini Variable Importance Measure of Categorical Variables for Random Forest Models
Elisha Daniel Johnston, El Camino College
04:
The Feeling of Being Understood and Supported May Account for the Long-Term Effect of Brief Alcohol Interventions: The Takeaways from Meta-Analyses of Individual Participant Data
Eun-Young Mun, University of North Texas Health Science Center ; David Huh, University of Washington; Minge Xie, Rutgers University
05:
WITHDRAWN: A Case Study About the Cardiac Implications on COVID-19 from Clinical and Molecular Data
Beyonce Zhou, Corona Del Mar High School
06:
Using Machine Learning Algorithms with Bayesian Optimization Turning Technique for Fracture Prediction in Genomic and Phenotypic Data of 25,772 Postmenopausal Women
Qing Wu, University of Nevada, Las Vegas ; Jingyuan Dai, University of Nevada, Las Vegas
07:
Tales of Bayesian Inference from the Pandemic: Partial Progress via Partial Identification
Paul Gustafson, University of British Columbia
08:
Efficiency and Balance of the Generalized Metropolis-Adjusted Langevin Algorithm
Mylène Bédard, Université de Montréal ; Gabriel Boisvert-Beaudry, Université de Montréal
09:
Statistical Inference in an Expanding Dynamic Network Model
Soumendra Lahiri, Washington University ; Vivien Zhao, Wells Fargo/NCSU
10:
Supporting and Studying Collaborative Data Analysis and Writing in Statistics and Data Science Using the Integrated Statistics Learning Environment
Rebecca Nugent, Carnegie Mellon University ; Philipp Burckhardt, Carnegie Mellon University; David Brown, Carnegie Mellon University; Mike Laudenbach, Carnegie Mellon University
11:
A Composite Likelihood Approach to Inferring Phylogenetic Networks from Genomic Data
Laura Kubatko, The Ohio State University ; Jing Peng, The Ohio State University; Sungsik Kong, The Ohio State University
12:
Integrative Single Cell Analysis of DNA Copy Number and Chromatin Accessibility in Cancer
Chi-Yun Wu, University of Pennsylvania ; Nancy Zhang, The University of Pennsylvania
13:
GeneFishing to Reconstruct Context Specific Portraits of Biological Processes
Haiyan Huang, University of California, Berkeley
14:
Methods That Characterize Patients with High Benefit in a Combination of Outcomes
Constantine Frangakis, Johns Hopkins University ; Kyrana Tsapkini, Johns Hopkins University
15:
Rate-Optimal and Fast Quasi-Bayesian Estimation in Sparse Canonical Correlation Analysis
Yves Atchade, Boston University ; Qiuyun Zhu, Boston University
16:
Classification of Social Media Users Using Functional Data Analysis
Ana-Maria Staicu, North Carolina State University ; Anthony Weishampel, North Carolina State University, Statistics Department; William Rand, North Carolina State University,Poole College of Management
17:
fpcaSED: Application of Functional Principal Component to Type Ia Supernova Spectral Energy Distribution Modeling
Xiaomeng Yan, Texas A&M University ; Jianhua Huang, Texas A&M University; Lifan Wang , Texas A&M University
