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
In-Depth Information on Lecture76 Data2decision Bayesian Regression Part 3
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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