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Degrees Awarded – Ph.D. Statistics




Thesis Title

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