I am trying to fit a complex function with different observational streams. Additionally, likelihoods might not be Gaussian, and priors might be different to uniform or Gaussian only.
I have code to calculate the log-likehood (and Log Posterior). Is there any way to use mc3 for this? Or is the best way to just extract the sampler I want to use and wrap it for this application?
I am trying to fit a complex function with different observational streams. Additionally, likelihoods might not be Gaussian, and priors might be different to uniform or Gaussian only.
I have code to calculate the log-likehood (and Log Posterior). Is there any way to use mc3 for this? Or is the best way to just extract the sampler I want to use and wrap it for this application?