LAW Bayesian Statistics and Econometrics
Intellectual Property: Patent Law
Business Law: Finance: Capital Markets, Financial Reporting, Corporate Governance
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Bayesian Statistics and Econometrics
Recommended for route(s):
[ Academia ] [ Regulatory & Policy ] Intellectual Property: Patent Law
Why it is relevant for ...
[ Academia ] [ Regulatory & Policy ] as a Related Elective for those interested in Statistics : Drawing an inference from quantitative evidence lies at the heart of many legal and policy decisions and can be key to an academic's scholarly work. Students should consider taking one or more classes on statistics and statistical inference. This course examines econometrics from a Bayesian perspective, giving some attention to the foundations of Bayesian methodology.
General course Description:
(Same as PUBLPOL 303C) This course examines econometrics from a Bayesian perspective including linear and nonlinear regression, covariance structures, panel data, qualitative variable models, nonparametric and semiparametric methods, time series, Bayesian model averaging and variable selection. It explores Bayesian methodology including Markov Chain Monte Carlo methods, hierarchical models, model checking, mixture models, empirical Bayes approaches, approximations, and computational issues and gives some attention to foundations.
Course Style: A Substantive/Quantitative course is one that teaches the rules and theory of a quantitative subject area that relates to the practice of law.
Course Frequency: Offered once a year