STATS 270 - A Course in Bayesian Statistics

Institution:

Stanford University

Subject:

Description:

(Same as STATS 370.) Bayesian statistics including theory, applications, and computational tools. Topics: history of Bayesian methods, foundational problems (what is probability), subjective probability and coherence, exchangeability and deFinetti's theorem. Conjugate priors, Laplace approximations, Gibbs sampling, hierarchical and empirical Bayes, nonparametric methods, Dirichlet and Polya tree priors. Bayes robustness, asymptotic properties of Bayes procedures. 3 units, Win (Wong, W)

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.stanford.edu/

Phone Number:

(650) 723-2300

Regional Accreditation:

Western Association of Schools and Colleges

Calendar System:

Quarter

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