Presentations and Authors


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General Papers

Reading China: Predicting Policy Change with Machine Learning
Julian TszKin Chan, Weifeng Zhong
Predicting Authoritarian Crackdowns: A Machine Learning Approach
Julian TszKin Chan, Weifeng Zhong
Estimation of Multilevel Time Series Longitudinal Data
Laura Lu, Zhiyong Zhang
Evaluation of the Unsupervised Latent Dirichlet Allocation Model though Simulation
Chang Che, Kenneth Tyler Wilcox, Zhiyong Zhang
Modeling relationships from themes in text and covariates with an outcome: A Bayesian supervised topic model with covariates
Kenneth Tyler Wilcox, Ross Jacobucci, Zhiyong Zhang
Robust Bayesian Growth Curve Modeling using Double Robust methods, growth curve modeling, conditional medians, asymmetric Laplace distributionConditional Medians
Tonghao Zhang, Xin Tong, Jianhui Zhou
An improved stochastic EM algorithm for large‐scale full‐information item factor analysis
Siliang Zhang
Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning
Wenhao Yu, Qingkai Zeng, Meng Jiang
Amending a Popular Dataset and Improving Scientific Entity Recognition with No-Schema Distant Supervision
Qingkai Zeng

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