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Activity Details
1
Sun, 8/2/2020,
12:30 PM -
3:30 PM
Virtual
Invited E-Poster Session — Invited Poster Presentations
ASA , Text Analysis Interest Group
Chair(s): Xiaoyue Maggie Niu, Penn State University
01:
An Innovative Model for Establishing Data Science Units in Academic Medical Centers
Manisha Desai, Stanford University ; Mary Boulos, Stanford University
02:
Partial Identification for Capture-Recapture Surveys
Jinghao Sun, Yale University ; Forrest W. Crawford, Yale University
03:
Methods for Inference of Microbial Interactions Using Copula Models with Mixture Margins
Rebecca Deek, University of Pennsylvania ; Hongzhe Li, University of Pennsylvania
04:
Explained Variance Decompositions for Mediation Effect Sizes with Multiple Exposures
Shanshan Zhao, NIEHS ; Yue Jiang, Duke University; Jason Fine, University of North Carolina Chapel Hill
05:
A Bayesian Model to Infer Contact Network Structure from HIV Epidemic Data
Nicole Carnegie, Montana State University
06:
A Minimax Optimal Ridge-Type Set Test for Global Hypothesis with Applications in Whole Genome Sequencing Association Studies
Xihong Lin, Harvard TH Chan School of Public Health ; Yaowu Liu, Harvard University
07:
Probabilistic Forecasts of Arctic Sea Ice Thickness
Peter Gao, University of Washington ; Adrian Raftery, University of Washington; Cecilia Bitz, University of Washington
08:
Modeling the Marked Presence-Only Data: A Case Study of Estimating the Female Sex Worker Size in Malawi
Ian Laga, Penn State University ; Le Bao, Penn State University; Xiaoyue Maggie Niu, Penn State University
09:
Revealing Spatial Gene Patterns and Interactions in Mouse Brain via Stability-Driven NMF
Yu Wang, UC Berkeley ; Reza Abbasi-Asl, UC San Francisco; Nathan Gouwens, Allen Institute; Zizhen Yao, Allen Institute; Bosiljka Tasic, Allen Institute; Hongkui Zeng, Allen Institute; Anton Arkhipov, Allen Institute; Bin Yu, UC Berkeley
10:
Neyman-Pearson Classification Algorithms and NP Receiver Operating Characteristics
Jingyi Jessica Li, University of California, Los Angeles ; Xin Tong, University of Southern California; Yang Feng, New York University
11:
Bayesian Meta-Analysis of Censored Rare Events
Shouhao Zhou, Penn State University ; Xinyue Qi, UT-MD Anderson Cancer Center; Christine B. Peterson, The University of Texas MD Anderson Cancer Center
12:
Estimation of the Intensity Function of an Inhomogeneous Poisson Process with a Change-Point
Brendan Murphy, University College Dublin ; Tin Lok James Ng, University of Wollongong
13:
Achieving Differential Privacy with Elliptical Perturbations
Matthew Reimherr, Penn State University ; Jordan Awan, Penn State University
14:
A Bayesian Semiparametric Approach to Estimating a Bacterium’s Wild-Type Distribution and Prevalence Estimation: Accounting for Contamination and Measurement Error (BayesACME)
Will Eagan, Purdue University ; Bruce A. Craig, Purdue University
15:
Ethical Academic Collaboration from the Outside In
Kim Love , K. R. Love Quantitative Consulting and Collaboration
16:
Addressing Measurement Error in Microbiome Data
David Clausen, Department of Biostatistics, University of Washington ; Amy Willis, Department of Biostatistics, University of Washington
17:
Sparse Functional Principal Component Analysis in High Dimensions
Xiaoyu Hu, Peking University ; Fang Yao, Peking University
18:
Consistently Estimating Graph Statistics Using Aggregated Relational Data
Tyler McCormick, University of Washington ; Arun Chandrasekhar, Stanford University; Emily Breza, Harvard University; Mengji Pan, Mengjie Pan
19:
Unsupervised Multi-Granular Word Segmentation and Medical Term Discovery via Graph Partition
Sheng Yu, Tsinghua University
20:
The Future of Precision Health
Michael R. Kosorok, University of North Carolina at Chapel Hill
21:
The Role of Stratification in Sequential Monte Carlo
Yichao Li, Tsinghua University
22:
Latent Space Hawkes Processes
Owen Ward, Columbia University ; Jing Wu, Columbia University; Tian Zheng, Columbia University
23:
GWEB-Anno: An Empirical-Bayes-Based Approach for Genetic Risk Prediction Using GWAS Summary Statistics and Functional Annotations
Wei Jiang, Yale University ; Hongyu Zhao, Yale University
24:
Teaching Data Science Using Team-Based Learning
Eric Alfred Vance, University of Colorado Boulder
25:
Modeling Reciprocity: Designing a Collaborative Undergraduate Research Course
Emily H Griffith, North Carolina State Universit ; Stephany Dunstan, North Carolina State University
26:
Adaptive Testing of the Composite Null Hypotheses in Mediation Analysis
Yinqiu He, University of Michigan
27:
Incorporating Prior Knowledge on Phenotyping Accuracy for Bias Reduction in Association Studies Using Electronic Health Records Data
Yong Chen, University of Pennsylvania
28:
Learning Healthcare Delivery Network with Longitudinal Electronic Health Records Data
Jiehuan Sun, University of Illinois at Chicago ; Katherine Liao, Harvard Medical School; Tianxi Cai, Harvard University
29:
Estimating Causal Effects of Continuous Exposure: Comparing the Relative Performance of Commonly Used Methods
Donna L Coffman, Temple University ; Beth Ann Griffin, RAND; Daniel F McCaffrey, ETS ; Brian G Vegetabile, RAND Corporation
30:
Estimating Association Between Baseline Covariates and Outcome Under Additive Nonignorable Missingness
Chloe Krakauer, University of Washington
31:
ISLE: An Integrated Learning (And Research) Environment for Statistics and Data Science
Rebecca Nugent, Carnegie Mellon University ; Philipp Burckhardt, Carnegie Mellon University; Christopher R Genovese, Carnegie Mellon University
32:
A Random Effects Stochastic Block Model for Joint Community Detection in Multiple Networks with Applications to Neuroimaging
Yuguo Chen, University of Illinois at Urbana-Champaign
33:
A Study of Police Use of Force Using Novel Spatial Point Process Methodology
Claire E. Kelling, Penn State ; Murali Haran, Pennsylvania State University; Aleksandra Slavkovic, Pennsylvania State University; Corina Graif, Penn State
34:
Leveraging Auxiliary Information in Missing Data
Jerry Reiter, Duke University
1001
Tue, 8/4/2020,
12:00 PM -
1:00 PM
Virtual
JSM 2020: Live Chat with Amazon Scientists — Other Sponsored Events
ASA
Chair(s): Andrew Bruce, Amazon Science; Keirah Dein, Amazon; Jade DuBois, Amazon; Abhishek Gupta, Amazon Science; Ramya Mohan, Amazon; Vijay Nirmalananda, Amazon Science; Darcy Stubblefield, Amazon
Join this virtual event to hear from Amazon Science teams who are using research, statistics, and machine learning to enhance our customers' experience across Amazon!
RSVP Here
for this session.
