Adam Kashlak, PhD
Personal Website: https://sites.ualberta.ca/~kashlak/
Contact
Associate Professor, Faculty of Science - Mathematics & Statistical Sciences
- kashlak@ualberta.ca
Overview
Area of Study / Keywords
Functional Data Stochastic Processes Mathematical Statistics Randomization Testing
About
PhD, Mathematical Statistics, University of Cambridge (2017)
MSc, Applied and Computational Mathematics, Johns Hopkins University (2011)
BSc, Honours Pure Mathematics, McGill University (2008)
Research
Nonasymptotic Statistics, High Dimensional & Functional Data, Concentration Inequalities, Stochastic processes, Nonparametric Statistics, Mathematical Statistics
Teaching
Courses I have taught: STAT 378, 413, 479, 568, 571
Courses
STAT 378 - Applied Regression Analysis
Simple linear regression analysis, inference on regression parameters, residual analysis, prediction intervals, weighted least squares. Multiple regression analysis, inference about regression parameters, multicollinearity and its effects, indicator variables, selection of independent variables. Non-linear regression. Prerequisite: One of STAT 266 or STAT 276, or STAT 235 with consent of the Department.
Featured Publications
Adam B Kashlak, Prachi Loliencar, Giseon Heo
Journal of Machine Learning Research. 2023 January;
View additional publications
Research Students
Currently accepting undergraduate students for research project supervision.