Note, that a poisson distribution does not automatically imply an exponential pdf for waiting times between events. This only accounts for situations in which you know that a poisson process is at …

Oct 19, 2024 · The Poisson process on $\mathbb {R}$ is called non-homogenous with rate $\lambda (t)$ if its intensity measure has density $\lambda (t)$ (total mass of which might not equal 1, but …

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 …

How to calculate a confidence level for a Poisson distribution? Ask Question Asked 14 years, 5 months ago Modified 1 year ago

Jul 2, 2023 · 0 Time of the first arrival in Poisson process with rate $\lambda$ is exponential random variable $\sim Exp (\lambda)$.

Dec 7, 2023 · Poisson regression is commonly used to analyse count data. However, when we deal with rare events it does not seem to be appropriate any more. At least, graphical criteria to assess the …

Jun 6, 2021 · As an example, let $X\sim Poisson (p\lambda)$ where $\lambda=10$ and $p=0.3$. I want to use Chernoff's Bound to find the upper bound for the probability that $X\geq5$.

Suppose that events are produced according to a Poisson process with an average of lambda events per minute. Each event has a probability p p of being Type A event, independent of other events.

May 16, 2024 · I have been puzzling over a toy regression problem with simulated Poisson distributed data and hoping someone more educated in statistics can help me gain some insight about the …

What are the pros can cons of these two different link functions in Poisson regression, given my goal of comparing differences? I also have the same goal in mind for a logistic/binomial regression (to use a …