15 lines
424 B
Markdown
15 lines
424 B
Markdown
Introduction to Posterior Inference
|
|
=======================
|
|
|
|
more complex models -> fit data better , but overfit & dont generalize
|
|
-> posterior (distrib) inference
|
|
|
|
std NNs do MLE for weights
|
|
"theoretically justifiable" ie correct thing to do -> "posterior inference"
|
|
extremely difficult
|
|
|
|
useful for uncertainty! esp interesting in phys setting
|
|
|
|
first example here with airfoils, extension from {doc}`supervised-airfoils`
|
|
|