University of Calgary

STAT 601.27 - Topics in Probability and Statistics (Data Mine & Machine LearnwithR) - Winter 2024

The content of this course is decided from year-to-year in accordance with graduate student interest and instructor availability. Topics include but are not restricted to: Advanced Design of Experiments, Weak and Strong Approximation Theory, Asymptotic Statistical Methods, the Bootstrap and its Applications, Generalized Additive Models, Order Statistics and their Applications, Robust Statistics, Statistics for Spatial Data, Statistical Process Control, Time Series Models.
This course may be repeated for credit.


  • H(3-0)


  • Admission to a graduate program in Mathematics and Statistics or consent of the Department.


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