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| import arviz as az | |
| import pymc3 as pm | |
| N = 1000 | |
| N_HEADS = 292 | |
| with pm.Model() as model: | |
| theta = pm.Beta("θ", alpha=1.0, beta=1.0) | |
| y = pm.Binomial("y", n=N, p=theta, observed=N_HEADS) | |
| trace = pm.sample(return_inferencedata=True) | |
| az.plot_posterior(trace.posterior) |
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