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.
||Degree||Speaker||Title / Abstract Link|
||1:00||SECB 1011||MSc||Dani Chu||Foul Accumulation in the NBA|
||Kanav Gupta||Optimal Investment and Consumption Strategy for a Retiree Under Stochastic Force of Mortality|
|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
|Remote defences are being held due to Covid-19, if you wish to attend any defence remotely please email firstname.lastname@example.org.
|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|
|22||10:30||Remote||MSc||Matthew Berkowitz||A Bivariate Longitudinal Model for Psychometric Data|
|23||10:00||Remote||MSc||Gabriel Phelan||New Perspectives on Non-negative Matrix Factorization for Inference in Grouped Topic Models|
||MSc||Megan Kurz||Statistical analysis of multi-type recurrent events, with application in opioid use disorder studies|
|Date||Time||Location||Degree||Speaker||Title / Abstract Link|
||11:45||K9509||MSc||Qi (Emma) Wen||Prediction for Canadian Federal Election Aided by Canadian Community Health Survey|
|27||9:30||ASB 10920||MSc||Joel Therrien||The Competing Risks Random Forrest Method for Large-Scale Data|