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.

Spring 2019

Date	Time	Location	Degree	Speaker	Title / Abstract Link
February
07	10:30	Library2020	MSc	Cherlane Lin	Unsupervised Learning on Functional Data with an Application on the Analysis of U.S. Temperature Prediction Accuracy.
March
29	10:30	K9509	MSc	Danial Dayl-Grafstein	Rao-Blackwellizing Field Goal Percentage
April
09	10:00	ASB 9896	MSc	Grace Feng	An Efficient Statistical Method of Detecting Introgressive Events from Big Genomic Data
11	10:30	K9509	MSc	Erin Zhang	Multidimensional Scaling for Phylogenetics
15	10:30	K9509	MSc	Haoyao Ruan	Covariance-adjusted, sparse, reduced-rank regression with application to imaging-genetics data
17	10:00	K9509	MSc	Grace Hsu	Super fast emulation and calibration of large computer experiments with high-dimensional output
23	10:00	K9509	MSc	Vinnie Liu	Predicting Ovarian Cancer Survival Times: Feature Selection and Performance of Parametric Methods and Random Survival Forests

Date	Time	Location	Degree	Speaker	Title / Abstract Link
September
21	10:30	K9509	MSc	Jinwan Kim	IBNR claims reserving using a compound Poisson INAR(1) model
27	9:00	K9509	PhD	Ben Nie	Estimation of time-varying directed networks and Development of Functional Principal Components Analysis
December
12	10:30	K9509	MSc	Jing Wang	Cooperation in Target Benefit Plans: A GameTheoretical Perspective
13	10:30	K9509	PhD	James Dong	Joint Modeling of Longitudinal and Time-to-Event Data with the Application to Kidney Transplant Data
19	10:30	K9509	PhD	Lasantha Premarathna	Partial Stratification in Capture-Recapture Experiments and Integrated Population 7Modeling with Radio Telemetry
20	10:00	K9509	PhD	Dongdong Li	Statistical Inference Using Large Administrative Data on Multiple Event Times, with Application to Cancer Survivorship Research