Why should I be Bayesian when my model is wrong?
Posted by Guillaume Dehaene, at stats.stackexchange.com,
Edits: I have added a simple example: inference of the mean of the $X_i$. I have also slightly clarified why the credible…
Edits: I have added a simple example: inference of the mean of the $X_i$. I have also slightly clarified why the credible…
I have around 20 independent (or not strongly correlated) predictor variables. And there are about 20 observations for each…