Another very useful application of the generated quantities block (timeline 23:40) is to create simulated data that closely matches the model. This is central to a lot of statistical analysis. You can create different models and generate simulated data that looks like that model. You can then use that simulated data in other approaches like machine learning etc.
![[09x04] Bayesian Logistic Regression | Turing.jl | Probability of Spotting Japanese Wolf Spiders](http://i.ytimg.com/vi/xq8qSSs49NA/mqdefault.jpg)
Awesone videos bro... Waiting for next 4..
Great video! Would be great to see some multivariate problems and variance-covariance matrix estimation
Great tutorials! Thank you so much for this content. (When) will you add the last four episodes of this playlist?
Another very useful application of the generated quantities block (timeline 23:40) is to create simulated data that closely matches the model. This is central to a lot of statistical analysis. You can create different models and generate simulated data that looks like that model. You can then use that simulated data in other approaches like machine learning etc.
thanks, very nice presentation
keep it up!
Love the sound track from DBZ :D