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Activity Details

60 Sun, 8/8/2021, 6:45 PM - 7:30 PM Virtual
Invited E-Poster Session II — Invited Poster Presentations
Chair(s): Ana-Maria Staicu, North Carolina State University
01: Random Lie Brackets That Induce Torsion: A Model for Noisy Vector Fields
Didong Li, Princeton University; 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05: WITHDRAWN: A Case Study About the Cardiac Implications on COVID-19 from Clinical and Molecular Data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