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MKTG Bayesian Inference: Methods and Applications

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MKTG 646

Bayesian Inference: Methods and Applications

Graduate School of Business

General course Description:

The course aims to develop a thorough understanding of Bayesian inference, with a special focus on empirical applications in marketing. The course will start with a brief theoretical foundation to Bayesian inference and will subsequently focus on empirical methods. Initial topics would include Bayesian linear regression, multivariate regression, importance sampling and its applications. Subsequently, the course will focus on Markov Chain Monte Carlo (MCMC) methods including the Gibbs Sampler and the Metropolis-Hastings algorithm and their applications. The overall focus of the course will be on applying these methods for empirical research using a programming language such as R.

Course Style: A Substantive course teaches the law, theory, and policy in a particular area of law

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