| Scheduled Conference | Title | |
| 2020 Meeting of ISDSA | Modeling relationships from themes in text and covariates with an outcome: A Bayesian supervised topic model with covariates | Abstract |
| Kenneth Tyler Wilcox, Ross Jacobucci, Zhiyong Zhang | ||
| 2020 Meeting of ISDSA | Multivariate Feedback Particle Filter and the Well-posedness of its Admissible Control Input | Abstract |
| Xue Luo | ||
| 2020 Meeting of ISDSA | Out-of-bag prediction error estimators for extended redundancy analysis | Abstract |
| Sunmee Kim, Heungsun Hwang | ||
| 2020 Meeting of ISDSA | Predicting Authoritarian Crackdowns: A Machine Learning Approach | Abstract |
| Julian TszKin Chan, Weifeng Zhong | ||
| 2020 Meeting of ISDSA | Propensity score estimation with latent variables: data mining alternatives to logistic regression | Abstract |
| Ge Jiang | ||
| 2020 Meeting of ISDSA | Reading China: Predicting Policy Change with Machine Learning | Abstract |
| Julian TszKin Chan, Weifeng Zhong | ||
| 2020 Meeting of ISDSA | Robust Bayesian Growth Curve Modeling using Double Robust methods, growth curve modeling, conditional medians, asymmetric Laplace distributionConditional Medians | Abstract |
| Tonghao Zhang, Xin Tong, Jianhui Zhou | ||
| 2020 Meeting of ISDSA | Treatment effects on an outcome under nonlinear modeling | Abstract |
| Kai Wang | ||
| 2020 Meeting of ISDSA | TUBE: Embedding Behavior Outcomes for Predicting Success | Abstract |
| Daheng Wang, Tianwen Jiang, Nitesh Chawla, Meng Jiang | ||
| 26 - 34 of 34 Items | << < 1 2 | |
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