PubH 6400-101 (SS12): Topics in Hierarchical Bayesian Analysis
Date: 6/4/2012 - 6/8/2012
15 Continuing Education Hours
Academic credit(s): 1
Continuing education hours: 15
PubH 6400 Section 101
June 4- 9:00-12:00
June 5- 8:00-12:00
June 6- 8:00-12:00
June 8- 8:00-12:00
Room: Blegen Hall 145
Hierarchical Bayesian methods combine information from various sources and are increasingly used in biomedical and public health settings to accommodate complex data and produce readily interpretable output. This course will introduce students to Bayesian methods, emphasizing the basic methodological framework, real-world applications, and practical computing.
This course is intended as a gentle introduction to both the mathematical and computing aspects of modern Bayesian methods, no prior calculus or software experience is assumed.
Instructor: Laura Hatfield & Bradley Carlin
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