0404082 - UIVT-O 20010027 RIV CZ eng J - Journal Article
Krejčíř, Pavel
A Maximum Likelihood Estimator of an Inhomogeneous Poisson Point Process Intensity Using Beta Splines.
Kybernetika. Roč. 36, č. 4 (2000), s. 455-464. ISSN 0023-5954
R&D Projects: GA ČR GA201/98/0090; GA ČR GA201/99/0269
Institutional research plan: AV0Z1030915
Keywords : poisson point processes * beta splines * intensity estimation * maximum likelihood
Subject RIV: BA - General Mathematics
http://dml.cz/handle/10338.dmlcz/135363

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 presented by two-dimensional beta-splines.
Permanent Link: http://hdl.handle.net/11104/0124353