Graduate Theses

Below is a list of the theses produced by graduate students in the Department of Statistics and Actuarial Science.






2020-3 Renny Doig MSc Efficient Bayesian parameter inference for COVID-19 transmission models L.Wang
2020-3 Dylan Maciel MSc Systematic Comparison of Designs and Emulators for Computer Experiments Using a Library of Test Functions D.Bingham
2020-3 Cherie Ng MSc A Flexible Group Benefits Framework for Pricing Deposit Rates J.F. Bégin
2020-3 James Thomson
MSc Contextual Batting and Bowling in Limited Overs Cricket G.Perera
2020-2 Gabriel Phelan
MSc New Perspectives on Non-negative Matrix Factorization for Grouped Topic Models
D. Campbell
2020-2 Jacob Mortensen PhD Statistical Methods for Tracking Data in Sports L. Bornn
2020-2 Yi Xiong PhD
Statistical Analysis of Event Times with Missing Origins Aided by Auxiliary Information, with Application to Wildfire Management J. Hu
2020-2 Shufei Ge PhD Statistical Machine Learning in Computational Genetics L. Wang
2020-2 Fei Mo MSc Understanding Jump Dynamics Using Liquidity Measures J.F. Bégin
2020-2 Tainyu Guan PhD Some new methods and models in functional data analysis  (Abstract only available, publication of thesis postponed until 19th June, 2021.)   J. Cao
2020-2 Haiyang (Jason) Jiang MSc Understanding and Estimating Predictive Performance of Statistical Learning Methods based on Data Properties T. Loughin
2020-2 Nathan Sandholtz PhD Modeling human decision-making in spatial and temporal systems L. Bornn
2020-2 Zhiyang (Gee) Zhou PhD Supervised Basis Functions Applied to Functional Regression and Classification R. Lockhart
2020-2 Matthew Reyers MSc Quarterback Evaluation in the National Football League T. Swartz
2020-2 Jie (John) Wang MSc Bayesian logistic regression with the local bouncy particle sampler for COVID-19 L. Wang
2020-1 Matt Berkowitz MSc A Bivariate Longitudinal Model for Psychometric Data R. Altman
2020-1 Megan Kurz MSc Statistical analysis of multi-type recurrent events, with application in opioid use disorder studies J. Hu
2020-1 Siyuan Chen MSc Approximate Marginal Likelihoods for Shrinkage Parameter Estimation in Penalized Logistic Regression Analysis of Case-Control Data B. McNeney
2020-1 Sihan (Echo) Cheng MSc An application of clustering methods to improving forecasting performances of mortality models C. Tsai
2020-1 Barinder Thind MSc Functional Neural Networks for Scalar Prediction J. Cao
2020-1 Neil Faught MSc Assessing the performance of an open spatial mark recapture method on grizzly bear populations when age data is missing. S. Thompson
2020-1 Kanav Gupta MSc Optimal Investment and Consumption Strategy for a Retiree Under Stochastic Force of Mortality J.F. Bégin
2020-1 Dani Chu MSc Foul Accumulation in the NBA T. Swartz

Projects and Theses From Previous Years