Rutgers University 3 credits Statistics
Principles of Bayesian data analysis and application of them to varied data analysis problems. Topics include: Bayes Theorem, linear and nonlinear models, hierarchical models, and the use of Markov chain Monte Carlo methods. Prerequisites: [(01:960:212 or 01:960:291 or 01:960:384 or 01:960:401 or 01:960:484) and (01:640:152)]
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