I’ve got some binary questions that asked some respondents in an area. My goal is to estimate the average proportion of saying yes to binary questions for all areas. My data frame has the shape of (N, 5) with N being the number of areas, 4 columns responding to the total number of people saying yes…

The direct generalization of your previous prior would be something like u = pm.Dirichlet('dprior_p', np.ones(4, dtype=np.float32), shape=(4,)) v = pm.Gamma('dprior_v', alpha=1, beta=20, shape=(4,)) p_observed = pm.Dirichlet('proportions', a=u*v, shape=(4,)) It may be more effective to constrain …

Priors for Dirichlet distribution

Questions

manhnguyen48 May 6, 2019, 8:02pm 3

It does work indeed! Thank you!

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Priors for Dirichlet distribution

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