Scientific Research Publishing

Non-Homogeneous Poisson Processes Applied to Count Data: A Bayesian Approach Considering Different Prior Distributions ()

The non-homogeneous Poisson model has been applied to various situations, such as the analysis of software reliability data, air pollution data and medical count data. Denote by M(t) the cumulative ...
Scientific Research Publishing

"One-Sample Bayesian Predictive Analyses for an Exponential Non-Homogeneous Poisson Process in Software Reliability"

[2] One-Sample Bayesian Predictive Analyses for a Nonhomogeneous Poisson Process with Delayed S-Shaped Intensity Function Using Non-Informative Priors ...
IEEE

Application of Non-Homogeneous Poisson Process Modeling to Containership Arrival Rate

Abstract: Estimating containership arrival rate is a key element in harbor operation and management; however, it is not easy to be described because of a wide range of external factors. Most of the ...
GitHub

Automated predictor size detection needed for intercept-only models (Was: Error fitting homogeneous Poisson process with compressed cp likelihood)

I am fitting a homogeneous Poisson process model using the cp likelihood. To do this I want to define the integration scheme as with a single integration location with a weight equal to the area of ...
Risk

Nonhomogeneous bivariate compound Poisson process with short-term periodicity

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.
JSTOR Daily

Dirac Lie Groups, Dirac Homogeneous Spaces and the Theorem of Drinfeld

The notions of Poisson Lie group and Poisson homogeneous space are extended to the Dirac category. The theorem of Drinfeld on the one-to-one correspondence between Poisson homogeneous spaces of a ...