Created
February 26, 2019 19:15
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| import pymc3 as pm | |
| d0 = [20, 28, 24, 20, 23] # observed demand samples | |
| with pm.Model() as m: | |
| d = pm.Gamma('theta', 1, 1) # prior distribution | |
| pm.Poisson('d0', d, observed = d0) # likelihood | |
| samples = pm.sample(10000) # draw samples from the posterior | |
| seaborn.distplot(samples.get_values('theta'), fit=stats.gamma) |
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