Degrees Awarded – Ph.D. Statistics

Year

Graduate

Supervisor

Thesis Title
2026 Yan Qiao Wang N. Balakrishnan Random Effect Models For Clustered, Overdispersed Time-to-Event Data, With Applications
2026 Xinyi Wang N. Balakrishnan Stochastic EM Algorithm-based Likelihood Inference for Spatial Cure Rate Models Based on Some Flexible Distributions
2025 Siyi Wang P. McNicholas Depth and Local Depth in Clustering: Algorithms and Applications with Minimal Assumptions
2025 Manan Mukherjee N. Balakrishnan Computationally Efficient Statistical Methods in IoT and Human Gait Analysis
2025 Pengfei Cai A. Abdallah/P. Jeganathan Advanced Dependence Modeling of Loss Reserves: Integrating Recurrent Neural Networks and Seemingly Unrelated Regression Copula Mixed Models for Diversified Risk Capital
2024 Xi Zhang P. McNicholas / O. Murphy Multivariate longitudinal data clustering with a copula kernel mixture model
2024 Katharine Clark P. McNicholas Extensions to the OCLUST Algorithm
2024 Chenxi Yu N. Balakrishnan Inference for Gamma Frailty Models based on One-shot Device Data
2023 Mengjie Bian A. Canty Methods for correcting the accuracy in Mendelian randomization
2023 Nikola Pocuca P. McNicholas Hyperbolic Distributions and Transformations for Clustering Incomplete Data with Extensions to Matrix Variate Normality
2022 Eman Alamer P. McNicholas Unsupervised Classification for Skewed and Mixed-Type Data
2022 Xiaochang Wang S. Feng Limit Theorems and Applications of Time Series with Varying Coefficients
2021 Mu He N. Balakrishnan Some Flexible Families of Mixture Cure Frailty Models and Associated Inference
2021 Regina Kampo P. McNicholas Evolutionary Algorithms for Model-Based Clustering
2021  Peter Tait P. McNicholas Analysis of Four and Five-Way Data and Other Topics in Clustering
2020 Wenxing Guo N. Balakrishnan Advances on Dimension Reduction for Multivariate Linear Regression
2020 Samantha-Jo Caetano G. Pond Improving the accuracy of statistics used in de-identification and model validation (via the concordance statistic) pertaining to time-to-event data
2020 Michael Gallaugher P. McNicholas Analysis of Three-Way Data and Other Topics in Clustering and Classification