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M.Sc. and Ph.D. Defences

This is the schedule for upcoming defences from graduate students in the Department of Statistics and Actuarial Science department.

Summer 2020

Remote defences are being held due to Covid-19, if you wish to attend any defence remotely please email statgrad@sfu.ca.
Date Time Location          
 Degree Candidate Title / Abstract Link

June

          
19 9:30 Remote PhD Tianyu Guan Some New Methods and Models in Functional Data Analysis.

July

          
3 10:00

Remote

 PhD Shufei Ge Statistical and Machine Learning Methods in Computational Genetics
14 10:30 Remote MSc Haiyang (Jason) Jiang Understanding and Estimating Predictive Performance of Statistical Learning Methods based on Data Properties
30 10:00 Remote PhD Charith Karunarathna Sequence clustering for genetic mapping of binary traits

 

Spring 2020

Date Time Location          
 Degree Speaker Title / Abstract Link

Jan

        
13
 1:00 SECB 1011 MSc Dani Chu Foul Accumulation in the NBA
20 4:30 AQ 4120
 MSc
 Kanav Gupta Optimal Investment and Consumption Strategy for a Retiree Under Stochastic Force of Mortality
           

Feb

          
13 10:00 Library 2020   MSc Neil Faught Assessing the Performance of an Open Spatial Mark Recapture Method on Grizzly Bear Populations When Age Data is Missing
           

Apr

          
Remote defences are being held due to Covid-19, if you wish to attend any defence remotely please email statgrad@sfu.ca.
7 1:00 Remote MSc Barinder Thind Functional Neural Networks for Scalar Prediction
9 2:00 Remote MSc Sihan (Echo) Cheng An application of clustering methods to improving forecasting performances of mortality models
17 10:00 Remote MSc Siyuan Chen Approximate Marginal Likelihoods for Shrinkage Parameter Estimation in Penalized Logistic Regression Analysis of Case-Control Data
24 10:00 Remote
 MSc Megan Kurz Statistical analysis of multi-type recurrent events, with application in opioid use disorder studies
30 1:00 Remote MSc Matthew Berkowitz A Bivariate Longitudinal Model for Psychometric Data

 

Fall 2019

Date Time Location Degree Speaker Title / Abstract Link

Sept

        
5
 11:45 K9509 MSc Qi (Emma) Wen Prediction for Canadian Federal Election Aided by Canadian Community Health Survey
           

Nov

          
27 9:30 ASB 10920 MSc Joel Therrien The Competing Risks Random Forrest Method for Large-Scale Data