The 2020 ISDSA Annual Meeting

The 2020 Meeting of ISDSA is originally scheduled to take place in Notre Dame, IN, USA. Because of the coronavirus, we hold the meeting through Zoom.

The program information can be downloaded here: 2020 ISDSA Program

• A comparative study on predictability of component-based approaches to structural equation modeling by Gyeongcheol Cho and Heungsun Hwang, Department of Psychology, McGill University.
• Multivariate Feedback Particle Filter and the Well-posedness of its Admissible Control Input by Xue Luo, Beihang University
• Evaluation of the Unsupervised Latent Dirichlet Allocation Model though Simulation by Chang Che, Kenneth Wilcox, and Zhiyong Zhang, University of Notre Dame
• Elaboration of economic cost-efficiency analyses based on equilibrium approach by Oleksandr Ocheredko and Anastasiia Akhmedova Vinnytsya National Medical University
• A Monte Carlo confidence interval method for testing measurement invariance by Hui Li and Hongyun Liu, Beijing Normal University
• Iterative Least-squares Regression with Censored Data: A Survival Ensemble of Learning Machine by Md Hasinur Khan, University of Dhaka
• Computationally efficient likelihood inference in exponential families when the maximum likelihood estimator does not exist by Daniel Eck, Department of Statistics University of Illinois and Charles Geyer, Department of Statistics University of Minnesota
• Treatment effects on an outcome under nonlinear modeling by Kai Wang, University of Iowa
• TUBE: Embedding Behavior Outcomes for Predicting Success by Daheng Wang, Tianwen Jiang, Nitesh Chawla, and Meng Jiang, University of Notre Dame