STA 340Bayesian Statistics

Grinnell College · 4 credits · UGRD

Catalog

This course explores the Bayesian approach to statistical analysis, and its differences and similarities compared to classical methods. Students will learn to conduct Bayesian analysises of data from multiple disciplines, by coding basic and multi-level models in software such as R Stan, or JAGS. Prerequisite: STA-309, STA-310, MAT-355 or STA-335. JONKMAN

Recent sections

Fall 2026 · 1 section

Aug 27 – Dec 18

Section	Days & time	Location	Instructor
01Class #98433-STA-340-01	Tuesday, Thursday 2:40 PM - 4:00 PM Noyce Science Ctr 2402 (Lecture)	Noyce Science Ctr 2402	Jeff Jonkman
01 notes: Develop an informed critical or theoretical perspective on the social impact of data collection, including the social construction of data production, and the use of algorithmic techniques to process that data.