Graduate Students Laurence Cuny (M.Sc., Current, co-supervise with Katherine Davies). Isuru Dharmasena (M.Sc., Current). - Inesh Munaweera (Ph.D., Current, co-supervise with
Darren Gillis). - Weijia Zhang (Ph.D., Current, co-supervise with Po Yang).
- Lahiru Wickramasinghe (Ph.D., Current, co-supervise with Alex Leblanc).
- Ankit Doshi (Ph.D., Current, co-supervise with Brad Johnson).
- Mohammed Mujaab Kamso (M.Sc., 2018, co-supervised with Saumen Mandal).
Thesis:
Network Meta-Analysis Using Bayesian Methods and Some Diagnostics. - Inesh Munaweera (M.Sc., 2018, co-supervised with M. Jafari Jozani).
Thesis:
Shrinkage Estimators under Generalized Garrote and Linex Loss Functions for Regression Analysis. - Lahiru Wickramasinghe (M.Sc., 2015).
Thesis:
Non-Inferiority Hypothesis Testing in Two-Arm Trials with Log-normal Data. - Peng Zhang (M.Sc., 2014).
Project: Social Network Analysis using Exponential Random Graph Models.
- Cynthia Kpekpena (M.Sc., 2014).
Thesis: Bayesian Analysis of Binary and Count Data in Two-arm Trials.
- Jing Zhang (M.Sc., 2012).
Project: Bayesian Methods for Modeling and Analyzing Item Response Data.
Undergraduate Students
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Keren Chheang, Undergraduate Student Research, Summer 2018.
Project: Bayesian Inference and text modelling using R. Laura Vandenberg, Undergraduate Student Research, Summer 2018.
Project: Analyzing Facebook Friendships through Social Network Models. - Yunfeng Yang, Mitacs Globalink Undergraduate Student Research, Summer 2018.
Project:
Assessing ERGM Models and Goodness of fit using Simulations. - Alina Rak, Mitacs Globalink Undergraduate Student Research, Summer 2018.
Project:
Bayesian Network Analysis of ecological data.- Gao Han, Mitacs Globalink Undergraduate Student Research, Summer 2017.
Project: Assessing Algorithms for Structure Learning in Bayesian Networks.
- Coral McCuen, Undergraduate Student Research, Summer 2017.
Project: Inferring the Sampling Distributions of the Estimators of Regression Models Using Simulation Based Methods.
- Ninad Khargonkar, Mitacs Globalink Undergraduate Student Research, Summer 2016.
Project: Modeling and Simulation of Euro Cup Matches.
- Xiuxiu You, Undergraduate Student Research, Summer 2016.
Project: Text Classification Methods and their Applications.
- Neha Singh, Mitacs Globalink Undergraduate Student Research, Summer 2015.
Project: A Social Network Analysis using Latent Dirichlet Allocation.
- Shaun Mcdonald, Undergraduate Student Research, Summer/Fall 2015.
Project: Bayesian methods for remote estimation of under-ice algal biomass in the Canadian Arctic.
- Xuejing Jiang, Undergraduate Student Research, Summer 2015 (with Saumen Mandal).
Project: Fixed and random effects models in one-way classified data.
- David Martell, Mitacs Globalink Undergraduate Student Research, Summer 2014.
Project: A Bayesian Method for Meta-Analysis with Applications to Multi Arm Trials with Binary Outcomes.
- Lidan Zhang, Mitacs Globalink Undergraduate Student Research, Summer 2013.
Project: A Comparison Between Item Response Models.
- Gabi Rodrigues, Science without Borders Undergraduate Student Research, Summer 2013.
Project: Statistical Analysis of Clinical Trials Data with Binary Outcomes.
- Justin Daman, Undergraduate Student Research, Summer 2013.
Project: Statistical Modelling and Simulation of Outcomes of NBA & NHL Seasons.
- Jingsha Yuan, Undergraduate Student Research, Summer 2012.
Project: Properties of Estimators in Bayesian Regression Models: A Simulation Study.
- Creagh Dyson Briercliffe, Undergraduate Student Research, Summer 2012 ( with Theo Koulis).
Project: A Bayesian Stochastic Model for Batting Performance Evaluation in One-day Cricket.
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