The week's pick
Reseach Article
Bayesian Inference on a Cox Process Associated with a Dirichlet Process
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 95 - Number 18 |
| Year of Publication: 2014 |
| Authors: Larissa Valmy, Jean Vaillant |
10.5120/16691-6825
|
Larissa Valmy, Jean Vaillant . Bayesian Inference on a Cox Process Associated with a Dirichlet Process. International Journal of Computer Applications. 95, 18 ( June 2014), 1-7. DOI=10.5120/16691-6825
Abstract
In ecology and epidemiology, spatio-temporal distributions of events can be described by Cox processes. Situations for which there exists a hidden process which contributes to random effects on the intensity of the observed Cox process are considered. The observed process is a generalized shot noise Cox process and the hidden process is a Poisson process associated with a Dirichlet process. The distributional properties of quadrat counts are presented and bayesian inference is proposed for estimating and predicting parameters of interest in the model. Illustrations are given from weed spatial count data and disease mortality data.
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