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Education

Welcome - Saman Muthukumarana

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Department of Statistics

Students

Last Updated: July 2018

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
  • 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.