Modelling with star-shaped distributions

Gespeichert in:

Autor*in:	Liebscher, Eckhard [verfasserIn] Richter, Wolf-Dietrich [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Anmerkung:	We prove and describe in great detail a general method for constructing a wide range of multivariate probability density functions. We introduce probabilistic models for a large variety of clouds of multivariate data points. In the present paper, the focus is on star-shaped distributions of an arbitrary dimension, where in case of spherical distributions dependence is modeled by a non-Gaussian density generating function

Übergeordnetes Werk:	Enthalten in: Dependence modeling - Warsaw : De Gruyter, Versita, 2013, 8(2020), 1, Seite 45-69
Übergeordnetes Werk:	volume:8 ; year:2020 ; number:1 ; pages:45-69

Links:	Link aufrufen

DOI / URN:	10.1515/demo-2020-0003

Katalog-ID:	1803982802

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title_auth	Modelling with star-shaped distributions
abstract	We prove and describe in great detail a general method for constructing a wide range of multivariate probability density functions. We introduce probabilistic models for a large variety of clouds of multivariate data points. In the present paper, the focus is on star-shaped distributions of an arbitrary dimension, where in case of spherical distributions dependence is modeled by a non-Gaussian density generating function
abstractGer	We prove and describe in great detail a general method for constructing a wide range of multivariate probability density functions. We introduce probabilistic models for a large variety of clouds of multivariate data points. In the present paper, the focus is on star-shaped distributions of an arbitrary dimension, where in case of spherical distributions dependence is modeled by a non-Gaussian density generating function
abstract_unstemmed	We prove and describe in great detail a general method for constructing a wide range of multivariate probability density functions. We introduce probabilistic models for a large variety of clouds of multivariate data points. In the present paper, the focus is on star-shaped distributions of an arbitrary dimension, where in case of spherical distributions dependence is modeled by a non-Gaussian density generating function
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title_short	Modelling with star-shaped distributions
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