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Sure, if you want a proper (non-degenerate) Poisson distribution, you have to choose a positive parameter, but the same could be said about many other distributions, e.g. Bernoulli(p)as p->0. Many of those have limits (edge cases) which are still valid distribution. In numerical applications, it would be bad if the limit throws an error even though the limit is a perfectly valid distribution. For example, you may have a model where λ = exp(x) and for very negative x this can underflow.
The
λ
parameter of Poisson is only defined for positive reals. But here its defined forλ >= 0
.Is this intended?
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