Andrew McCormack
Personal Website: https://sites.google.com/view/andrewmccormack/
Contact
Assistant Professor, Faculty of Science - Mathematics & Statistical Sciences
- mccorma2@ualberta.ca
- Address
-
4-233 University Commons
11308 - 89 Ave NWEdmonton ABT6G 2N8
Overview
Area of Study / Keywords
Mathematical Statistics
About
PhD, Duke University (2023)
BSc, University of Toronto (2018)
Research
Analysis of non-Euclidean and tensor data, algebraic statistics, information geometry, statistical decision theory, machine learning.
Courses
STAT 372 - Mathematical Statistics
Laws of large numbers, weak convergence, some asymptotic results, delta method, maximum likelihood estimation, testing, UMP tests, LR tests, nonparametric methods (sign test, rank test), robustness, statistics and their sensitivity properties, prior and posterior distributions, Bayesian inference, conjugate priors, Bayes estimators. Prerequisites: STAT 266 or STAT 276.
STAT 479 - Time Series Analysis
Stationary series, spectral analysis, models in time series: autoregressive, moving average, ARMA and ARIMA. Smoothing series, computational techniques and computer packages for time series. Prerequisites: STAT 372 and 378. Note: This course may only be offered in alternate years.