A Maximum Likelihood Estimator of an Inhomogeneous Poisson Point Process intensity Using Beta Splines.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F00%3A06010027" target="_blank" >RIV/67985807:_____/00:06010027 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

A Maximum Likelihood Estimator of an Inhomogeneous Poisson Point Process intensity Using Beta Splines.

Original language description

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.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BA - General mathematics

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2000

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Kybernetika

ISSN

0023-5954

e-ISSN

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Volume of the periodical

36

Issue of the periodical within the volume

4

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

10

Pages from-to

455-464

UT code for WoS article

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EID of the result in the Scopus database

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