This is a preview. Log in through your library . Abstract A compound Poisson process whose randomized time is an independent Poisson process is called a compound Poisson process with Poisson ...

Fractional Poisson processes represent an innovative extension of the classical Poisson process, wherein the interarrival times follow heavy-tailed distributions often characterised by the ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 57, No. 4 (Sep., 2008), pp. 461-471 (11 pages) Data comprising colony counts, or a binary variable representing fertile ...

The goal of a machine learning regression problem is to predict a single numeric value. Poisson regression is a specific technique that can be used when the problem data is approximately Poisson ...

Young, Empowered and Strong: A Web-Based Education and Supportive Care Intervention for Young Women With Breast Cancer Across the Care Continuum To overcome these challenges, we have developed a ...

This paper presents new results on the nonhomogeneous bivariate compound Poisson process with a short-term periodic intensity function. The dependence between margins is modeled using the Lévy copula.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demo of Poisson regression, where the goal is to predict a count of things arriving, such as the number of telephone calls ...