I have a question about Pymc3 fit the equation: S = A* f**(-a)+C and I have known : log10(A) obeys Uniform(-10,10) log10(c) obeys Uniform (-20,10) a abeys Uniform (1,4) And likelihood just a normal distribution, How can I use Pymc3 determine the A ,a ,C (and I have the data about S, and f , …

I’m assuming by “obey” you’re stating prior distributions on a, A, and C. The code below should work: import pymc3 as pm with pm.Model() as model: a = pm.Uniform("a", lower=1, upper=4) log_A = pm.Uniform("log_A", lower=-10, 10) log_C = pm.Uniform("log_C", lower=-20, 10) A = pm.Det…

About Pymc3 fit in log scale

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StarryNight August 5, 2021, 1:34pm 4

Oh Yeah！ It is power spactrum that Iam doing！ emmm ， Would you like to share your suggestions further?
Best is your code, use pymc3(hahaha)

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About Pymc3 fit in log scale

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