M.Sc. and Ph.D. Defences

Below is the schedule of upcoming defences for graduate students in the Department of Statistics and Actuarial Science. If you wish to attend, please email statgrad at sfu.ca.

Fall 2023

Date	Time	Location	Degree	Speaker	Title / Abstract Link
December
19	10:00am	Hybrid	Ph.D.	Payman Nickchi	Linkage fine-mapping on sequences from case-control studies and Goodness-of-fit tests based on empirical distribution function for general likelihood model
18	10:30am	Zoom	M.Sc.	Gurashish Bagga	Offensive and defensive penalties on score differentials and drive outcomes in the NFL
18	2:30pm	Hybrid	M.Sc.	Rina Wang	The Application of Categorical Embedding and Spatial-Constraint Clustering Methods in Nested GLM Model
6	1:00pm	LIB 7200	M.Sc.	David (Liwei) Lai	An Exploration of a Testing Procedure for the Aviation Industry
November
29	9:00am	Hybrid	M.Sc.	Teng-Wei Lin	Forecasting the trajectories of Southern Resident Killer Whales with stochastic continuous-time movement models
October
23	10:00am	Hybrid	Ph.D.	Nirodha Epasinghege Dona	Big Data Applications in Genetics and Sports
6	1:00pm	Zoom	M.Sc.	Kim Kroetch	Inverse Ensemble Forecasting for COVID Outbreaks
September
22	9:30am	Hybrid	M.Sc.	Summer Shan	An application of the James-Stein Estimation Method in Modeling of Mortality Rates
7	9:30am	Hybrid	Ph.D.	William Ruth	Computationally Intensive Statistical Methods for the Analysis of Infectious Disease Outbreaks

Summer 2023

Date	Time	Location	Degree	Speaker	Title / Abstract Link
August
25	10:00am	Hybrid	Ph.D.	Boyi Hu	Functional Regression Models
22	10:00am	Zoom	Ph.D.	Trevor Thomson	Statistical Methods for Evaluating Effects of Health Service Utilization on Survival Times with Linked Administrative Data, with Application to Opioid Use Disorder Treatment Management
17	10:00am	Zoom	Ph.D.	Daisy (Ying) Yu	Penalized Likelihood Methods for Sparse Datasets, with Applications to Genetic Epidemiology
16	10:00am	Hybrid	Ph.D.	Pulindu Ratnasekera	Inference of gene-environment interaction from heterogeneous case-parent trios
15	2:00pm	LIB 2020	M.Sc.	Yuqi Meng	Understanding and Exploring Meta-Features based on Data Properties in Meta-Learning for Regression Analysis
July
31	1:00pm	Zoom	M.Sc.	Linwan Xu	Statistical Analyses of Longitudinal Observational Data from Adults Living in Marginalized Housing,with Particular Attention to Cognitive Function Characterization
26	10:30am	LIB 2020	M.Sc.	Manpreet Kaur	Non-orthogonal Blocked Two-level Factorial Designs
24	10:00AM	Hybrid	Ph.D.	Guanzhou Chen	Contributions to Factorial Designs and Space-Filling Designs
20	10:30AM	LIB 2020	M.Sc.	Kalpani Darsha Perera	Nearly Orthogonal Arrays of Strength Three
10	4:00PM	Zoom	M.Sc.	Junpu Xie	Equivalence tests between tobacco methodologies by Health Canada and WHO
June
19	4:00PM	Hybrid	Ph.D.	Haixu Wang	Machine Learning in Functional Data Analysis
May
19	1:00PM	LIB 2020	M.Sc.	Jesse Schneider	Efficient Galaxy Classification Through Pretraining

Spring 2023

Date	Time	Location	Degree	Speaker	Title / Abstract Link
April
6	10:00am	Zoom	M.Sc.	Tianyu Yang	A pedigree-transmission likelihood for multiplex families
March
31	1:00pm	Hybrid	M.Sc.	Hashan Peiris	Integration of Traditional and Telematics data for Efficient Insurance Claims Prediction
January
26	3:00PM	Hybrid	M.Sc.	Yaning Zhang	Dimension Reduction Methods with Application in Automobile Insurance

Fall 2022

Date	Time	Location	Degree	Speaker	Title / Abstract Link
December
19	2:00PM	Hybrid	M.Sc.	Elijah Cavan	NHL Aging Curves Using Functional Principle Component Analysis
14	10:30AM	LIB 2020	M.Sc.	Carla Louw	Post-Selection Inference in Cox Proportional Hazards Models
1	2:00PM	LIB 2020	M.Sc.	Wenyuan Zhou	A Complete Framework for Modelling Defined Benefit Pension Plans
November
28	4:30PM	LIB 2020	M.Sc.	Ryker Moreau	Valuation of NHL Draft Picks using Functional Data Analysis
28	2:30PM	LIB 2020	M.Sc.	Brendan Kumagai	Dynamic Prediction of the National Hockey League Draft with Rank-Ordered Logit Models
15	10:00AM	Hybrid	Ph.D.	Lucas (Yifan) Wu	Soccer Analytics
September
23	10:30AM (PDT)	Hybrid	Ph.D.	Shaun McDonald	Novel Approaches to Uncertainty Quantification in Nonparametric Settings

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