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The Poisson distribution makes a big deal that its great for modeling "Counts" of stuff (aka counts of monthly users) because its a non negative discrete distribution.

Well, aren't Binomial and Bernoulli distributions also non negative?

I can't think of any discrete distributions that can have negative x values. (Normal distribution i believe is a continuous distribution so it doesn't count)

Roger V.
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Katsu
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    Counts are intrinsically non-negative. But other examples, such as the positions of a random walk with discrete steps certainly can. – Henry Jan 09 '23 at 01:19
  • 'The Poisson distribution makes a big deal that its great for modeling "Counts" of stuff (aka counts of monthly users) because its a non negative discrete distribution.'. No it doesn't, the Poisson is not able to take any such action. Some people might, but it would be quite odd for a person to single out the Poisson for this specific characteristic alone; which makes me wonder -- what are you reading??
  • – Glen_b Jan 09 '23 at 01:51
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  • ""I cant think of any discrete distributions that can have negative x values." ... if you're asking for examples, one such (named) example is the Skellam (the difference of two independent Poisson r.v.s, with potentially different parameters). There are a number of questions on site that relate to it ... https://stats.stackexchange.com/search?q=skellam
  • – Glen_b Jan 09 '23 at 01:54
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    Note that the Poisson distribution is usually used not because it has non-negative support, but rather because the law of rare events (https://en.wikipedia.org/wiki/Poisson_distribution#law_of_rare_events) says that if we count an independent events each occuring with small probability, then the total count can be approximated with a Poisson distribution. – Stefan Jan 10 '23 at 13:43