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 …

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 :slight_smile: :grin: Thanks for your input!

Trying to use a prior distribution inside a logarithm

Questions

Tazzy February 10, 2020, 2:04pm 3

I’m reading ‘x’ from a csv file. the class is: <class ‘numpy.float64’>

Thanks!

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Trying to use a prior distribution inside a logarithm

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