Models with low observed uncertainty compared to rv uncertainty

I didn’t try scaling the data yet though I can give that a shot. I still will have a much larger variance in the output than the input.

Is there a way to start with a higher tolerance and, either in sequential samplings or during a single trace, decrease it once the parameters have been better estimated?