Bayesian Inference of a Uniform Distribution
Tom Minka · 2001
This note derives the posterior, the evidence, and the predictive density for a uniform distribution, given a conjugate parameter prior. These provide various Bayesian answers to the “taxicab” problem: viewing a city from the train, you see a taxi numbered X. Assuming taxicabs are consecutively numbered, how many taxicabs are in the city?