Dear all, I want to know Margianal likelihood of Gaussian process by using DensityDist I know there is already gaussian process module in pymc3 but this is practice for my use of pymc3 I made the code like this def MarginalLikelihood(ls, eta, sigma, x, y): cov = eta**2 * ExpQuad(1,ls)(x) …

Margianal likelihood of Gaussian process by using DensityDist

ijwkim May 10, 2018, 4:08am 3

Thank you for your reply.

Topic		Replies	Views
How to do linear fitting with pymc3 by using pm.DensityDist Questions	6	1046	May 4, 2018
Problem with pymc3.DensityDist() #2846 Questions from_github	3	2284	February 8, 2018
Question about DensityDist, again Questions	5	1028	October 23, 2019
Creating custom likelihoods with DensityDist - what am I doing wrong? Questions	1	865	November 5, 2017
Rewriting Likelihood with DensityDist() outputs MissingInputError Questions	9	848	April 3, 2021