STAT 6043 - Applied Bayesian Analysis

Institution:

University of Cincinnati-Main Campus

Subject:

Description:

Foundation of Bayesian Statistics, basic theory and several applications including Monte Carlo and Markov Chain Monte Carlo Methods for computing Bayesian inference will be covered. Specific topics include: Foundation of Bayesian Approach, Prior and Posterior distributions; Choice of Priors: subjective and non-subjective or default approaches; Inference using posterior distribution for standard models; and Hierarchical models, and their applications. WinBUGS will be introduced.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.uc.edu

Phone Number:

(513) 556-6000

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

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