A maximum likelihood estimator of an inhomogeneous Poisson point processes intensity using beta splines
Kybernetika (2000)
- Volume: 36, Issue: 4, page [455]-464
- ISSN: 0023-5954
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topKrejčíř, Pavel. "A maximum likelihood estimator of an inhomogeneous Poisson point processes intensity using beta splines." Kybernetika 36.4 (2000): [455]-464. <http://eudml.org/doc/33495>.
@article{Krejčíř2000,
abstract = {The problem of estimating the intensity of a non-stationary Poisson point process arises in many applications. Besides non parametric solutions, e. g. 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.},
author = {Krejčíř, Pavel},
journal = {Kybernetika},
keywords = {non-stationary Poisson point process; estimating the intensity; non-stationary Poisson point process; estimating the intensity},
language = {eng},
number = {4},
pages = {[455]-464},
publisher = {Institute of Information Theory and Automation AS CR},
title = {A maximum likelihood estimator of an inhomogeneous Poisson point processes intensity using beta splines},
url = {http://eudml.org/doc/33495},
volume = {36},
year = {2000},
}
TY - JOUR
AU - Krejčíř, Pavel
TI - A maximum likelihood estimator of an inhomogeneous Poisson point processes intensity using beta splines
JO - Kybernetika
PY - 2000
PB - Institute of Information Theory and Automation AS CR
VL - 36
IS - 4
SP - [455]
EP - 464
AB - The problem of estimating the intensity of a non-stationary Poisson point process arises in many applications. Besides non parametric solutions, e. g. 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.
LA - eng
KW - non-stationary Poisson point process; estimating the intensity; non-stationary Poisson point process; estimating the intensity
UR - http://eudml.org/doc/33495
ER -
References
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