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Bayesian Inference
STAT 220

Course Information

Description

Bayesian theory, methods, and applications. Bayesian regression models, exponential family models, mixture models, and hierarchical models. Decision analysis and frequentist properties. Model checking and model comparison.  

Course Notes

For Spring 2026, STAT 220 D001 (Tu 9-10:15am) will meet in Maxwell-Dworkin 223.

School Faculty of Arts & Sciences
Credits 4
Cross Reg

Available for Harvard Cross Registration

Department Statistics
Course Component Lecture
Subject Statistics
Grading Basis FAS Letter Graded
Exam/Final Deadline May 12, 2026
General Education N/A
Quantitative Reasoning with Data Yes
Divisional Distribution Science & Engineering & Applied Science
Course Level Primarily for Graduate Students