Schedule

May 26, 2020

Time

Speaker and Title

Morning

9:00-9:15

Welcome

9:15-9:45

Zoom

Reading China: Predicting Policy Change with Machine Learning

Julian TszKin Chan, Bates White Economic Consulting

Weifeng Zhong, Mercatus Center at George Mason University

9:45-10:15

Zoom

A data science approach for integrating water-related social media, population, and administrative data to reduce health disparities

Cheng Wang, Wayne State University

Richard Smith, Wayne State University

Shawn McElmurry, Wayne State University

Paul Kilgore, Wayne State University

10:15-10:45

Zoom

TUBE: Embedding Behavior Outcomes for Predicting Success

Daheng Wang, University of Notre Dame

Tianwen Jiang, Harbin Institute of Technology

Nitesh Chawla, University of Notre Dame

Meng Jiang, University of Notre Dame

10:45-11:00

Coffee break

11:00-11:30

Zoom

Hybrid test for publication bias in meta-analysis

Lifeng Lin, Florida State University

11:30-12:00

Zoom

Capitalist Accumulation and Structure of Cryptocurrencies

Ethan Fridmanski, Department of Sociology University of Notre Dame

Afternoon

1:30-2:00

Zoom

An improved stochastic EM algorithm for large-scale full-information item factor analysis

Siliang Zhang, London School of Economics and Political Science

2:00-2:30

Zoom

A Structural Equation Modeling approach to Multilevel Reliability Analysis

Laura Lu, University of Georgia

Minju Hong,  University of Georgia

Seohyun Kim,  University of Georgia

2:30-3:00

Zoom

Balancing exploratory feature selection, computational limitations, and biological knowledge in computational genetics: The data science “Venn diagram” in action

Justin Luningham, Georgia State University

3:00-3:15

Coffee break

3:15-3:45

Zoom

Predicting Authoritarian Crackdowns: A Machine Learning Approach

Weifeng Zhong, Mercatus Center at George Mason University

Julian TszKin Chan, Bates White Economic Consulting

3:45-4:15

Zoom

Modeling relationships from themes in text and covariates with an outcome: A Bayesian supervised topic model with covariates

Kenneth Wilcox, University of Notre Dame

Ross Jacobucci, University of Notre Dame

Zhiyong Zhang, University of Notre Dame

4:15-4:45

Zoom

Imputing missing data with machine learning algorithms: A word of caution

Justin Luningham, Georgia State University

4:45-5:15

Zoom

A dynamic and automated content analysis of the depression concept among Chinese netizens: from 2012 to 2019

Mengxin He, Beijing Normal University

Hongyun Liu, Beijing Normal University

5:15-5:45

Zoom

Amending a Popular Dataset and Improving Scientific Entity Recognition with No-Schema Distant Supervision

Qingkai Zeng, University of Notre Dame

May 27, 2020

Time

Speaker and Title

Morning

9:00-9:30

Zoom

Estimation of contextual effect and the impact of ICC in multilevel modeling: Does it matter for estimation methods?

Hawjeng Chiou, National Taiwan Normal University Department of Business Administration Department of Educational Psychology and Counseling

9:30-10:00

Zoom

Out-of-bag prediction error estimators for extended redundancy analysis

Sunmee Kim, McGill University

Heungsun Hwang, McGill University

10:00-10:15

Coffee break

10:15-10:45

Zoom

Treatment effects on an outcome under nonlinear modeling

Kai Wang, University of Iowa

10:45-11:15

Zoom

Robust Bayesian Growth Curve Modeling using Double Robust methods, growth curve modeling, conditional medians, asymmetric Laplace distribution Conditional Medians

Tonghao Zhang, Department of Statistics, University of Virginia

Xin Tong, Department of Psychology, University of Virginia

Jianhui Zhou, Department of Statistics, University of Virginia

11:15-11:45

Zoom

A confidence interval of noncentrality compatible with test of a point null

Hao Wu, Vanderbilt University

11:45-12:15

Zoom

Distributionally-Weighted Least Squares

Han Du, University of California, Los Angeles

Peter Bentler, University of California, Los Angeles

Afternoon

Recorded video presentations

1.

Computationally efficient likelihood inference in exponential families when the maximum likelihood estimator does not exist

Daniel Eck, Department of Statistics University of Illinois

Charles Geyer, Department of Statistics University of Minnesota

2.

Estimation of Multilevel Time Series Longitudinal Data

Laura Lu, University of Georgia

Zhiyong Zhang, University of Notre Dame

3.

A Monte Carlo confidence interval method for testing measurement invariance

Hui Li, Faculty of Psychology, Beijing Normal University

Hongyun Liu, Faculty of Psychology, Beijing Normal University

4.

A comparative study on predictability of component-based approaches to structural equation modeling

Gyeongcheol Cho, Department of Psychology, McGill University

Heungsun Hwang, Department of Psychology, McGill University

5.

Evaluation of the Unsupervised Latent Dirichlet Allocation Model though Simulation

Chang Che, University of Notre Dame

Kenneth Wilcox, University of Notre Dame

Zhiyong Zhang, University of Notre Dame

6.

Propensity score estimation with latent variables: data mining alternatives to logistic regression

Ge Jiang, University of Illinois at Urbana-Champaign

7.

Multivariate Feedback Particle Filter and the Well-posedness of its Admissible Control Input

Xue Luo, Beihang University

8.

Iterative Least-squares Regression with Censored Data: A Survival Ensemble of Learning Machine

Md Hasinur Khan, ISRT, University of Dhaka

9.

Elaboration of economic cost-efficiency analyses based on equilibrium approach

Oleksandr Ocheredko, Vinnytsya National Medical University

Anastasiia Akhmedova, Vinnytsya National Medical University

End of the conference