STAT 405: Bayesian Statistics

Course description: Bayesian inference is a flexible and powerful approach to modeling reality, making optimal predictions from data, and quantifying uncertainty in a coherent manner. Thanks to their versatility, Bayesian methods are now widely used in virtually all fields of science, engineering, and beyond.
Note: this course was called 447C in previous years.
Dates offered: -
Session time: 2025 Winter
Term: 2
Course outline: STAT 405 - Syllabus_ STAT405 Bayesian Statistics.pdf
Instructors:
Alexandre Bouchard-Côté

Schedules

Time Mon Tue Wed Thu Fri
14:00 STAT 405
(Sec. L202)
14:00 to 15:00
15:00 STAT 405
(Sec. L203)
15:00 to 16:00