Xianwei Li

Penalized EM for Multistate Models under Interval Censoring   Co-supervised with Richard J. Cook

Yechao Meng (2022)

Mortality Forecasting Using Statistical Learning Approaches  Co-supervised with Chengguo Weng

Ce Yang (2021)

Topics in Study Design and Analysis Involving Incomplete Data  Co-supervised with Richard J. Cook

Haoxin Zhuang (2021)

Correlated Data Analysis with Copula Models or Bayesian Nonparametric Methods Co-supervised with ​Grace Y. Yi

Meaghan S. Cuerden (2018)

Marginal Causal Sub-Group Analysis with Incomplete Covariate Data Co-supervised with Cecilia Cotton and Richard J. Cook 

Abetare Marevci (2023)

Multiple Imputation of Missing Covariate Data with Decision Trees

Ta j Jones-McCormick (2022)

Applications of YOLO Models for Table Detection

Tamrah Brown (2018)

Analysis of Longitudinal Agriculture Data Using Credibility Re- gression Trees

Xingyu Hu (2017)

Regression Trees and Random Forests with Bregman Divergences

Yixing Zhao

Polya Trees for Survival Data

Yiran Zhu

Understanding and modeling the dependence among mental health measure in the COMPASS study via vine copula models

Keer Zu

Ensembled Models for Mortality Forecasting

Xinjie Qiao

Similarity-Based Random Forests For Imputed Survival Data

Xiangru Tan

Comparing the performance of imputation techniques for use with regression tree analysis: an application to youth mental health data in the COMPASS study