I am new to MCMC and theano, and now I have three equations similar to the following equations： r1 = …… r2 = …… r3 = …… R_a = r1 + r2 R_b = r1 - r3 R_c = - r2 - r3; Due to the fact that experimental data of R_a, R_b and R_c is available, so I want to use Likehood of R_a, R_b and R_c to do sam…

You don’t need to do anything to your code to get the combined likelihood - behind the scenes, PyMC3 is adding together the contributions from the log likelihoods from each of the 3 lines. Creating a single vector variable is admittedly cleaner and easier to follow, but it won’t fundamentally change…

How to do MCMC sampling with Multiple likelihood functions？

Questions

ar-valdez November 16, 2020, 6:14pm 3

Before I use to solve this “Adding” but, now I am interested in knowing how to solve this kind of scenario…

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How to do MCMC sampling with Multiple likelihood functions？

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