I have a basic distribution like this: x_i = pm.Uniform("x", lower=-1.0, upper=0.0, shape=N, dims="x []") When I sample using pm.fit() then pm.sample_approx(), the edges of the prior region, which are of course sharp, are not reached by my samples, which ends up biasing the posterior. Does pymc o…

Why doesn't ADVI sample from my prior edges?

ricardoV94 January 24, 2025, 8:22am 5

Isn’t this just a natural consequence of approximating a uniform distribution with a normal one (which is what ADVI does)?

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