Fit a non-linear function to data/observations with pyMCMC/pyMC
My first question is, am I doing it right? Yes! You need to include a burn-in period, which you know. I like to throw out the first half of my samples. You don’t need to do any thinning, but sometimes it will make your post-MCMC work faster to process and smaller to store. The only … Read more