I’m trying to do inverse modeling using PyMC3. I have a model M(a, theta) [essentially a function in python], and some measured data, x. I’d like to infer a and theta. The assumption is that the error, M(a, theta) - x is normal distributed. Is ABC (pm.Simulator) the only alternative here? Or is it …

Inference with normal distrubuted erreor

ricardoV94 December 17, 2021, 9:27am 4

Difficult to say without knowing a bit more about what this M(a, theta) look like.

Topic		Replies	Views
Inferring expectation value of complicated distribution Questions	1	1040	November 1, 2017
Adding a known amount of random error to a model Questions	2	487	May 19, 2019
Call MvNormal.random() method inside model Questions	3	1159	August 29, 2018
Mixture model estimation Questions	3	475	May 26, 2020
Question about PyMC3 pragmatics Questions	2	612	May 24, 2018