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Graduate Theses 2020-2024

Semester

Student

Degree 

Thesis

2024-2 Quinn Forzley M.Sc. Exploring Spatio-Temporal Heterogeneity and Correlation in COVID-19 Associated Follow-Up Visits and Events
2024-2 Sashini Darshani Silva Fransisku Hettige M.Sc. Strong orthogonal arrays of strength 2+ with better two-dimensional projection properties
2024-2 Lu Tan M.Sc. Integration of pre-trained large language model and knowledge graph embedding into topic modeling with latent Dirichlet allocation
2024-2 Niwanthi Muthukuda Arachchilage M.Sc. Annealed Sequential Monte Carlo with Adaptive Multiple-Try Metropolis Kernel and Applications to Disease Transmission Models
2024-2 Maggie (Meng) Sun Ph.D. Advancements in Cyber Risk Management: a Comprehensive Statistical Modeling and Analysis of Data Breaches with Applications in Cyber Insurance
2024-2 Zhi Yuh Ou Yang M.Sc. Joint modelling of longitudinal and survival data
2024-2 Nadia Enhaili M.Sc. Improving Healthcare Policies Using Reinforcement Learning on Patterns of Service Utilization
2024-2 Yuping Yan Ph.D. Dimension Reduction for Functional Data and Hypothesis Testing for Ordinary Differential Equation Models
2024-2 Tianxing Yan M.Sc. Dependence modeling for heavy-tailed multi-peril insurance losses
2024-2 Sidi Wu Ph.D. Neural Networks for Functional and Survival Data
2024-2 Lulu Guo Ph.D. Evaluating Treatment Efficacy in Randomized Controlled Trials with Treatment Noncompliance and Multivariate Outcomes
2024-1
Quang Vuong
MSc The performance of annealed sequential Monte Carlo sampling as a joint variable selection and parameter estimation method in the linear (mixed) model setting
2024-1 Diksha Jethnani
Msc Analysis of rare variants in the first exon of the ataxin-2 gene in patients with neurodegenerative diseases
2024-1 Yanjun Liu
PhD A Multiscale Stochastic Cellular Automaton Model for Dispersion Process with Applications to Mountain Pine Beetle Infestations
2024-1 Yirong Zhu
MSc Enhanced Hierarchical Bayesian Modeling of Mortality Rates Incorporating Jumps: A Multi-Country Perspective
2024-1 Yiting Chen
MSc A new class of depth-based statistics with same attractor
2024-1 Yueyang Han
MSc Testing the Effectiveness of Treatment for Cancers for which the Endpoint is Survival Using Bayesian Subgroup Analysis
2024-1 Nikhil Kapoor
MSc Impact of Asset Modeling Choices on Lifetime Pension Pools
2023-3 Payman Nickchi PhD Linkage fine-mapping on sequences from case-control studies and Goodness-of-fit tests based on empirical distribution function for general likelihood model
2023-3 Gurashish Bagga MSc Offensive and defensive penalties on score differentials and drive outcomes in the NFL
2023-3 Rina Wang MSc
The Application of Categorical Embedding and Spatial-Constraint Clustering Methods in Nested GLM Model
2023-3 David (Liwei) Lai MSc An Exploration of a Testing Procedure for the Aviation Industry
2023-3 Teng-Wei Lin
MSc Forecasting the trajectories of Southern Resident Killer Whales with stochastic continuous-time movement models
2023-3 Nirodha Epasinghege Dona PhD Big Data Applications in Genetics and Sports
2023-3 Kim Kroetch MSc Inverse Ensemble Forecasting for COVID Outbreaks
2023-3 Summer Shan MSc An application of the James-Stein Estimation Method in Modeling of Mortality Rates
2023-3 William Ruth PhD Computationally Intensive Statistical Methods for the Analysis of Infectious Disease Outbreaks
2023-2 Boyi Hu
PhD Functional Regression Models
2023-2 Trevor Thomson PhD Statistical Methods for Evaluating Effects of Health Service Utilization on Survival Times with Linked Administrative Data, with Application to Opioid Use Disorder Treatment Management
2023-2 Daisy (Ying) Yu PhD Penalized Likelihood Methods for Sparse Datasets, with Applications to Genetic Epidemiology
2023-2 Pulindu Ratnasekera PhD Inference of gene-environment interaction from heterogeneous case-parent trios
2023-2 Yuqi Meng MSc Understanding and Exploring Meta-Features based on Data Properties in Meta-Learning for Regression Analysis
2023-2 Linwan Xu MSc Statistical Analyses of Longitudinal Observational Data from Adults Living in Marginalized Housing,with Particular Attention to Cognitive Function Characterization
2023-2 Manpreet Kaur MSc Non-orthogonal Blocked Two-level Factorial Designs
2023-2 Guanzhou Chen PhD Contributions to Factorial Designs and Space-Filling Designs
2023-2 Kalpani Darsha Perera MSc Nearly Orthogonal Arrays of Strength Three
2023-2 Junpu Xie MSc Equivalence tests between tobacco methodologies by Health Canada and WHO
2023-2 Haixu Wang PhD Machine Learning in Functional Data Analysis
2023-2 Jesse Schneider MSc Efficient Galaxy Classification Through Pretraining
2023-1 Tianyu Yang MSc A pedigree-transmission likelihood for multiplex families
2023-1 Hashan Peiris MSc Integration of Traditional and Telematics data for Efficient Insurance Claims Prediction
2023-1 Yaning Zhang MSc Dimension Reduction Methods with Application in Automobile Insurance
2022-3 Elijah Cavan MSc NHL Aging Curves Using Functional Principle Component Analysis
2022-3 Carla Louw MSc Post-Selection Inference in Cox Proportional Hazards Models
2022-3 Wenyuan Zhou MSc A Complete Framework for Modelling Defined Benefit Pension Plans
2022-3
Ryker Moreau MSc Valuation of NHL Draft Picks using Functional Data Analysis
2022-3 Lucas (Yifan) Wu
PhD Soccer Analytics
2022-3 Shaun McDonald PhD Novel Approaches to Uncertainty Quantification in Nonparametric Settings
2022-2 Luyao Lin
PhD
Emulation and Calibration of Computer Models with Unknown Constraints
2022-2 Youwei Yan MSc Modeling the Multi-Peak Structure of the Solar Cycle
2022-2 Lei Chen
MSc On the calculation of risk measures for variable annuities with guaranteed benefits
2022-2 Jacob (Xuankang) Zhu
MSc Efficient learning algorithms for classification of data by a nonlinear decision boundary
2022-2 Hasan Nathani
MSc Exploring Associations of Respiratory Symptoms and Lung Function Measures with Occupational Exposures for the Canadian Obstructive Lung Disease (COLD) Study
2022-2 Mandy Yao MSc Effect of Stochastic Model Error on the Convergence and Accuracy of Markov Chains
2022-1 Zayed Shahjahan
MSc Bayesian Variable Selection in Regression with Genetics Application
2022-1 Menqi (Molly) Cen
MSc A PDE-Based Bayesian Hierarchical Model for Event Spread, with Application to Covid-19 Infection
2022-1 Wen Tian (Wendy) Wang
MSc Selection Between Variance-Optimal and Bias-Optimal Designs when Some Two-Factor Interactions are Important
2022-1 Yazdi Faezeh
PhD
Fast Deep Gaussian Process Modeling and Design for Large Complex Computer
2022-1 Winfield Chen
MSc
Towards efficient population-level genome-wide association studies
2021-3 Kangyi (Ken) Peng
MSc Bayesian Approaches for Critical Velocity Models
2021-3 Xueyi (Wendy) Xu
MSc A Particle Markov Chain Monte Carlo Approach for the Estimation of CBD-Type Models
2021-3 Christina Nieuwoudt PhD Simulation and Statistical Methods for Family-Based Sequencing Studies 
2021-2 Yige (Vivian) Jin MSc Numerical Approximation Algorithms for Pension Funding
2021-2 Peter Tea MSc The Analysis of Serve Decisions in Tennis using Bayesian Hierarchical Models
2021-2 Louis Arsenault-Mahjoubi MSc On the Bayesian Estimation of Jump-Diffusion Models in Finance
2021-2 Cheng-Yu Sun PhD Factorial Designs under Baseline Parameterization and Space-filling Designs with Applications to Big Data 
2021-2 Xuefei (Gloria) Yang MSc Covariance-adjusted, Sparse,Reduced-Rank Regression with Adjustment for Confounders
2021-2 Charith Karunarathna PhD Sequence Clustering for Genetic Mapping of Binary Traits
2021-1 Lisa McQuarrie MSc Autoregressive Mixed Effects Models and an Application to Annual Income of Cancer Survivors
2021-1 Yunwei Tu MSc Post-selection Inference
2021-1 Nikola Surjanovic MSc An Efficient Approach to Pruning Regression Trees Using a Modified Bayesian Information Criterion
2020-3 Renny Doig MSc Efficient Bayesian parameter inference for COVID-19 transmission models
2020-3 Dylan Maciel MSc Systematic Comparison of Designs and Emulators for Computer Experiments Using a Library of Test Functions
2020-3 Cherie Ng MSc A Flexible Group Benefits Framework for Pricing Deposit Rates
2020-3 James Thomson
MSc Contextual Batting and Bowling in Limited Overs Cricket
2020-2 Gabriel Phelan
MSc New Perspectives on Non-negative Matrix Factorization for Grouped Topic Models
2020-2 Jacob Mortensen PhD Statistical Methods for Tracking Data in Sports
2020-2 Yi Xiong PhD
Statistical Analysis of Event Times with Missing Origins Aided by Auxiliary Information, with Application to Wildfire Management
2020-2 Shufei Ge PhD Statistical Machine Learning in Computational Genetics
2020-2 Fei Mo MSc Understanding Jump Dynamics Using Liquidity Measures
2020-2 Tainyu Guan PhD Some new methods and models in functional data analysis
2020-2 Haiyang (Jason) Jiang MSc Understanding and Estimating Predictive Performance of Statistical Learning Methods based on Data Properties
2020-2 Nathan Sandholtz PhD Modeling human decision-making in spatial and temporal systems
2020-2 Zhiyang (Gee) Zhou PhD Supervised Basis Functions Applied to Functional Regression and Classification
2020-2 Matthew Reyers MSc Quarterback Evaluation in the National Football League
2020-2 Jie (John) Wang MSc Bayesian logistic regression with the local bouncy particle sampler for COVID-19
2020-1 Matt Berkowitz MSc A Bivariate Longitudinal Model for Psychometric Data
2020-1 Megan Kurz MSc Statistical analysis of multi-type recurrent events, with application in opioid use disorder studies
2020-1 Siyuan Chen MSc Approximate Marginal Likelihoods for Shrinkage Parameter Estimation in Penalized Logistic Regression Analysis of Case-Control Data
2020-1 Sihan (Echo) Cheng MSc An application of clustering methods to improving forecasting performances of mortality models
2020-1 Barinder Thind MSc Functional Neural Networks for Scalar Prediction
2020-1 Neil Faught MSc Assessing the performance of an open spatial mark recapture method on grizzly bear populations when age data is missing.
2020-1 Kanav Gupta MSc Optimal Investment and Consumption Strategy for a Retiree Under Stochastic Force of Mortality
2020-1 Dani Chu MSc Foul Accumulation in the NBA