The Poisson distribution, named after the French mathematician Siméon Denis Poisson, can be used to estimate how many times an event can occur within “X” time periods.
The posterior probability in Bayesian statistics is the revised or updated probability of an event occurring after new information has been taken into account.
Unconditional probability reflects the probability that some event will occur without taking into account any other possible influences or previous results.