I’m trying to model my data with an equation that has a logarithm: y = A+B*log10(x-C) x- is a predictor variable A, B & C are parameters I want to predict with a posterior. The model works if I use a constant value for C, but once I replace it with a prior probability, it breaks down. (I even …

We found a solution! We changed mu_y = A+Bnp.log10(x - C) to mu_y = A+Bnp.log10(x.to_list() - C) And it worked :slight_smile: :grin: Thanks for your input!

Trying to use a prior distribution inside a logarithm

Questions

junpenglao February 8, 2020, 7:25am 2

This should work - what is the data type of x?

Topic		Replies	Views
Problem model definition PyMC3 Questions	12	4749	September 21, 2017
PyMC3 does not sample from my custom prior Questions	1	826	January 4, 2019
Does logp of a variable include its prior? Questions	1	951	April 15, 2018
Debugging Custom likelihood Questions	2	1377	November 30, 2018
How to use theano to create a custom loglikelihood for an array of arrays Questions	13	2230	July 20, 2018

Trying to use a prior distribution inside a logarithm

Related topics