That’s probably it. When fitting a line using MCMC you’ll get an anticorrelated blob of probabilities for slope and intercept, and if you plot one deviation in the fit parameters you get something that looks like this. I’d guess this is a non-parametric analogue of that. Notice how both grow significantly at the edges of the plots.
That’s probably it. When fitting a line using MCMC you’ll get an anticorrelated blob of probabilities for slope and intercept, and if you plot one deviation in the fit parameters you get something that looks like this. I’d guess this is a non-parametric analogue of that. Notice how both grow significantly at the edges of the plots.