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Spring Term 2022 Bayesian Statistics - 3404 - STAT 450

Prerequisites/Notes: MATH/STAT 340

Catalog Description : A study of the Bayesian statistical philosophy, contrasting it with the traditional frequentist approach taught in other statistics courses. Topics include Bayes' Theorem, prior and posterior probability distributions, hierarchical models, and Markov Chain Monte Carlo methods. The course will involve a mixture of lecture, discussion, and use of statistical software. Requirements include exams, a project, and assignments involving the use of statistical software.

Attributes: BM Natural Science (01cr), Advanced Course, In Person Delivery


Term

Spring Term 2022

Instructors

Abhishek Chakraborty

Course

STAT 450

Grade Mode

Standard

Title

BAYESIAN STATISTICS

Final Exam

 

CRN

3404

Status

Active

Class Time

11:10 AM-12:20 PM MWF BRIG 421

Start-End Date

Mar 28, 2022-Jun 08, 2022

Campus

Appleton Main Campus

Units

6

Course materials View Book Information

 

Maximum

Number registered

Enrollment:

Unlimited

11