I’m trying to model my data with an equation that has a logarithm: y = A+B*log10(x-C) x- is a predictor variable A, B & C are parameters I want to predict with a posterior. The model works if I use a constant value for C, but once I replace it with a prior probability, it breaks down. (I even …

Trying to use a prior distribution inside a logarithm

Tazzy February 10, 2020, 10:16pm 5

We found a solution! We changed
mu_y = A+Bnp.log10(x - C)
to
mu_y = A+Bnp.log10(x.to_list() - C)

And it worked

Thanks for your input!

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