I am not used to leaving comments under youtube videos but big thanks to you Ben. Definitely not the first nor the last video of yours that I will be watching
TBF to Ben, it's a set of videos about a notorious theoretical issue that led to Bayesian inference being deemed "unusable" for many years. As such, the videos are dealing with a broad problem of "what if two people choose to define the same question in slightly different ways". Numerical examples would hide the nature of the solution to the bigger problem
when you write the log likelihood (1:00), the expression inside the brackets is posterior but not the likelihood.
this other video of dr.lambert’s might clear things up a bit. th-cam.com/video/IhoEwC9R8pA/w-d-xo.htmlsi=TSzEfWCRUN4JEIrD
I am not used to leaving comments under youtube videos but big thanks to you Ben. Definitely not the first nor the last video of yours that I will be watching
Thank you for sharing this insight. Straight and simple.
why can you cancel the integrals in this case?
This has been puzzling me as I see this happening in another video in this series! Can somebody please clarify?
It's really sloppy. What he is actually doing is applying a Jacobian.
isn't it supposed to be l x given theta?
still have no idea. Ben can you decipher this to a non-PhD statistician in a practical sense. Ii.e. some data examples? It is impenetrable.
TBF to Ben, it's a set of videos about a notorious theoretical issue that led to Bayesian inference being deemed "unusable" for many years. As such, the videos are dealing with a broad problem of "what if two people choose to define the same question in slightly different ways". Numerical examples would hide the nature of the solution to the bigger problem
excellent