Middlebury Institute of International Studies at Monterey

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STAT0412A-F23

Bayesian Statistics

Bayesian Statistics (formerly MATH 0412)
In this course, we will learn about the Bayesian paradigm of statistics, in which one’s inferences about parameters or hypotheses are updated as evidence accumulates. The goals of the course include understanding basic concepts of Bayesian inference; deriving posterior distributions; assessing the adequacy of Bayesian models; and effectively communicating results. Topics covered include one-parameter models, conjugacy, and Gibbs samplers. Real-world data and applications will feature heavily in this course. (MATH 0311 or STAT 0311) 2.5 hr. lect.
Course Reference Number (CRN):
92858
Subject Code:
STAT
Course Number:
0412
Section Identifier:
A

Course

STAT 0412

All Sections in Fall 2023

Fall 2023

STAT0412A-F23 Lecture (Tang)