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Graduate Studies
Graduate Degrees Awarded
Degrees Awarded – Ph.D. Statistics
Degrees Awarded – Ph.D. Statistics
Year
Graduate
Supervisor
Thesis Title
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