Oct 4, 2013 · Poisson distributed data is intrinsically integer-valued, which makes sense for count data. Ordinary Least Squares (OLS, which you call "linear regression") assumes that true values are …

Sep 5, 2024 · I am trying to learn how to prove the following: if we know k k events occurred in a Poisson process between times t1 t 1 and t2 t 2, the exact times of these events are uniformly …

The waiting times for poisson distribution is an exponential distribution with parameter lambda. But I don't understand it. Poisson models the number of arrivals per unit of time for example. How i...

Nov 6, 2023 · The Poisson model may estimate P too low, but I assume there's quite a few orders of magnitude to go before the interpretation changes (without considering any multiplicity or other …

May 25, 2015 · If two events occur at a rate of 1.8 per hour on average, and this occurrence follows a poisson process, what is the probability that there is at least 1 hour between two events? My …

Feb 3, 2025 · Now I construct a compound Poisson process in the following way. Let X1 X 1 be the waiting time for the 1 1 -th event (of the same Poisson process defined before).

Jul 3, 2025 · Standard errors when implementing the 'Poisson Trick' (estimating multinomial from two poisson regressions) Ask Question Asked 7 months ago Modified 7 months ago

Aug 25, 2021 · There are different types of continuous extensions of Poisson distribution. I favor the one presented in this paper: "Continuous counterparts of Poisson and binomial distributions and their …

Jun 11, 2024 · You need to explain a bit more what is going on. Currently this question creates three different answers: 1 interpreting your question as being about a truncated/sensored observation 2 …

Feb 19, 2023 · The Poisson and quasi-Poisson models differ in their assumptions about the form of the function relating the mean and variance of each observation. The Poisson assumes the variance …