DATA_O 582 - L01

Bayesian Inference

Introduction to Bayesian paradigm and tools for Data Science. Topics include Bayes theorem, prior, likelihood and posterior. A detailed analysis of the cases of binomial, normal samples, normal linear regression models. A significant focus will be on computational aspects of Bayesian problems using software packages. Restricted to students in the MDS program. DATA_O 572, DATA_O 581 recommended.

Section
DATA_O 582 -L01
Campus
Okanagan
Delivery Mode
In person
Term
2025-26 Winter Term 2 (UBC-O)
Instructional Format
Laboratory
Credits
1.00
Start Date
End Date
Days
Monday
Start Time
12:30 pm
End Time
04:30 pm

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.

Vancouver Campus
6200 University Blvd
Vancouver, BC Canada V6T 1Z4

Okanagan Campus
3333 University Way
Kelowna, BC Canada V1V 1V7

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