Add ShiftedBetaGeometric discrete distribution
#574
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ricardoV94
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Sep 6, 2025
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| class ShiftedBetaGeometricRV(RandomVariable): | ||
| name = "sbg" | ||
| signature = "(),()->()" | ||
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| dtype = "int64" | ||
| _print_name = ("ShiftedBetaGeometric", "\\operatorname{ShiftedBetaGeometric}") | ||
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| @classmethod | ||
| def rng_fn(cls, rng, alpha, beta, size): | ||
| if size is None: | ||
| size = np.broadcast_shapes(alpha.shape, beta.shape) | ||
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| alpha = np.broadcast_to(alpha, size) | ||
| beta = np.broadcast_to(beta, size) | ||
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| p = rng.beta(a=alpha, b=beta, size=size) | ||
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| samples = rng.geometric(p, size=size) | ||
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| return samples |
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Use a SymbolicRandomVariable that defines the random method in terms of pytensor operations. That way it will work automatically in all backends (jax/numba), not just C/python
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Closes #573
test_random_edge_casesuses rather extreme values and may be unstable.