You just replaced the whole model!

Fundamentals of Bayesian Data Analysis in R

Rasmus Bååth

Data Scientist

Fundamentals of Bayesian Data Analysis in R

Some ways Bayesian data analysis can be useful

  1. You can include information sources in addition to the data.
  2. You can make any comparisons between groups or data sets.
  3. You can use the result of a Bayesian analysis to do Decision Analysis.
  4. You can change the underlying statistical model.
  5. Bayesian inference is optimal, kind of.
Fundamentals of Bayesian Data Analysis in R

Fundamentals of Bayesian Data Analysis in R

Nice properties of Bayes

  • Bayes is optimal, in the small world of the model.
  • In Bayesian data analysis there is a separation between model and computation.
Fundamentals of Bayesian Data Analysis in R

Next up: How to fit Bayesian models more efficiently!

Fundamentals of Bayesian Data Analysis in R

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