Exploring Lecture76 Data2decision Bayesian Regression Part 3

Exploring Lecture76 Data2decision Bayesian Regression Part 3 reveals several interesting facts.

  • Bayes
  • Summarizing the posterior distribution, uninformative prior, substantive prior, Bernstein-von Mises theorem, credible intervals.
  • Bayesian
  • A full MCMC example for linear models.
  • In this discussion, we introduce the concept of the

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Numerical outputs of This video gives a brief overview on Try my new interactive online course "Fundamentals of Inverted Classroom video for Machine Learning 1, Technical University of Munich, 2016.

This is the third in a series of videos showing how to perform

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