Multi-Nonlinear Robust Regression

[david]

@daniel-saunders-phil

There are a bunch of ways you might fix this. The priors could give amp0 a better clue of where to look. Or you could switch away from a studentT outcome distribution. Your data isn’t very noisy so the extra flexibility of the studentT hurts you rather than helps you.

Dear Daniel, many thanks for your kind reply with the problem explanation. I will try to modified the model as you suggested. I belive I will come back next week with few additional questions. Once again, many thanks for your support.