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Bayesian Statistics and Econometrics

Past Offerings

Bayesian Statistics and Econometrics (7509): 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. Elements used in grading: Attendance, Class Participation, Exam.


Bayesian Statistics and Econometrics | LAW 7509 Section 01 Class #1150

  • 4 Units
  • Grading: Law Honors/Pass/Restrd Cr/Fail
  • 2020-2021 Spring
    Schedule No Longer Available
  • Exam:
      • Details to come
  • Course Category:
    • Law and Social Sciences

  • 2020-2021 Spring
    Schedule No Longer Available
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