STAT_V 405 - Bayesian Statistics

Bayesian approaches to statistical inference: probabilistic modelling, Bayesian inference workflows, approximation of posterior distributions supported by modelling languages, analysis of Bayesian procedures and posterior approximation methods. [3-0-1] Prerequisites: One of MATH_V 302, STAT_V 302, or MATH_V 418, and either STAT_V 305 or STAT_V 460.

Credits: 3.00

Course Sections

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We acknowledge that UBC’s two main campuses are situated within the ancestral and unceded territory of the Musqueam people, and in the traditional, ancestral, unceded territory of the Syilx Okanagan Nation and their peoples.

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