General Papers
| Implementing Binary Decision Diagrams in R FaultTree Package | |
| David Silkworth, Jacob Ormerod |
| Hybrid test for publication bias in meta-analysis | |
| Lifeng Lin |
| Iterative Least-squares Regression with Censored Data: A Survival Ensemble of Learning Machine | |
| Md Hasinur Rahaman Khan |
| 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 |
| A Novel Method for scRNA-seq Data Precise Simulation | |
| Guoshuai Cai, Fei Qin, Feifei Xiao |
| Balancing exploratory feature selection, computational limitations, and biological knowledge in computational genetics: The data science “venn diagram” in action | |
| Justin Luningham |
| Imputing missing data with machine learning algorithms: A word of caution | |
| Justin Luningham |
| Distributionally-Weighted Least Squares | |
| Han Du, Peter Bentler |
| A Structural Equation Modeling approach to Multilevel Reliability Analysis | |
| Laura Lu, Minju Hong, Seohyun Kim |
| Estimation of Multilevel Time Series Longitudinal Data | |
| Laura Lu, Zhiyong Zhang |
| Propensity score estimation with latent variables: data mining alternatives to logistic regression | |
| Ge Jiang |
| Estimation of contextual effect and the impact of ICC in multilevel modeling: Does it matter for estimation methods? | |
| Hawjeng Chiou |
| Evaluation of the Unsupervised Latent Dirichlet Allocation Model though Simulation | |
| Chang Che, Kenneth Tyler Wilcox, Zhiyong Zhang |
| A Bayesian imputation-based sensitivity analysis procedure for unmeasured confounding in mediation analysis | |
| Xiao Liu |
| Out-of-bag prediction error estimators for extended redundancy analysis | |
| Sunmee Kim, Heungsun Hwang |
| A data science approach for integrating water-related social media, population, and administrative data to reduce health disparities | |
| Cheng Wang, Richard J. Smith, Shawn P. McElmurry, Paul E. Kilgore |
| 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 |
| A confidence interval of noncentrality compatible with test of a point null | |
| Hao Wu |
| Treatment effects on an outcome under nonlinear modeling | |
| Kai Wang |
| Computationally efficient likelihood inference in exponential families when the maximum likelihood estimator does not exist | |
| Daniel James Eck, Charles James Geyer |
| An improved stochastic EM algorithm for large‐scale full‐information item factor analysis | |
| Siliang Zhang |
| Multivariate Feedback Particle Filter and the Well-posedness of its Admissible Control Input | |
| Xue Luo |
| Analyzing the Competition Results of Team Taiwan in International Mathematical Olympiad | |
| Chu Lan Kao |
| TUBE: Embedding Behavior Outcomes for Predicting Success | |
| Daheng Wang, Tianwen Jiang, Nitesh Chawla, Meng Jiang |
| 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 |
| Capitalist Accumulation and Structore of Cryptocurrencies | |
| Ethan Fridmanski |
| Elaboration of economic cost-efficiency analyses based on equilibrium approach | |
| Oleksandr Mykolayovich Ocheredko, Anastasiia Abdukarimivna Akhmedova |
| A Monte Carlo confidence interval method for testing measurement invariance | |
| Hui Li, Hongyun Liu |
| A dynamic and automated content analysis of the depression concept among Chinese netizens: from 2012 to 2019 | |
| Mengxin He, Hongyun Liu |
| A comparative study on predictability of component-based approaches to structural equation modeling | |
| Gyeongcheol Cho, Heungsun Hwang |
| Fit Difference Between Nonnested SEM Models Given Categorical Data | |
| Keke Lai |
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