BACK to VOLUME 36 NO.4

Kybernetika 36(4):455-464, 2000.

A Maximum Likelihood Estimator of an Inhomogeneous Poisson Point Processes Intensity Using Beta Splines.

Pavel Krejčíř


Abstract:

The problem of estimating the intensity of a non-stationary Poisson point process arises in many applications. Besides non parametric solutions, \eg{} kernel estimators, parametric methods based on maximum likelihood estimation are of interest. In the present paper we have developed an approach in which the parametric function is represented by two-dimensional beta-splines.


Keywords:


AMS:


download full-text.pdf
download abstract.pdf

BIB TeX

@article{kyb:2000:4:455-464,

author = {Krej\v{c}\'{\i}\v{r}, Pavel},

title = {A Maximum Likelihood Estimator of an Inhomogeneous Poisson Point Processes Intensity Using Beta Splines.},

journal = {Kybernetika},

volume = {36},

year = {2000},

number = {4},

pages = {455-464}

publisher = {{\'U}TIA, AV {\v C}R, Prague },

}


BACK to VOLUME 36 NO.4