ST 740 - Bayesian Inference and Analysis

Institution:

North Carolina State University

Subject:

Statistics

Description:

Introduction to Bayesian inference; specifying prior distributions; conjugate priors, summarizing posterior information, predictive distributions, hierachical models, asymptotic consistency and asymptotic normality. Markov Chain Monte Carlo (MCMC) methods and the use of exising software(e.g., WinBUGS).

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.ncsu.edu

Phone Number:

(919) 515-2011

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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