Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Ballani, Felix"'
We study two different methods for inferring the parameters of a spheroid distribution from planar sections of a stationary spatial system of spheroids: one method first unfolds non-parametrically the joint size-shape-orientation distribution of the
Externí odkaz:
http://arxiv.org/abs/1609.06697
Autor:
Ballani, Felix
Gegenstand der Arbeit sind zufällige Mengen $Xi$ aus dem erweiterten Konvexring und zugehörige markierte Punktprozesse $Psi$ in $mathbb{R}^d$ mit Marken aus dem System der konvexen Körper. Es wird gezeigt, unter welchen Voraussetzungen an $Psi$ di
Externí odkaz:
https://tubaf.qucosa.de/id/qucosa%3A22530
https://tubaf.qucosa.de/api/qucosa%3A22530/attachment/ATT-0/
https://tubaf.qucosa.de/api/qucosa%3A22530/attachment/ATT-0/
The tail correlation function (TCF) is one of the most popular bivariate extremal dependence measures that has entered the literature under various names. We study to what extent the TCF can distinguish between different classes of well-known max-sta
Externí odkaz:
http://arxiv.org/abs/1402.4632
Mat\'ern's hard-core processes are valuable point process models in spatial statistics. In order to extend their field of application, Mat\'ern's original models are generalized here, both as point processes and particle processes. The thinning rule
Externí odkaz:
http://arxiv.org/abs/1209.2566
We aim to link random fields and marked point processes and therefore introduce a new class of stochastic processes which are defined on a random set in R^d. Unlike for random fields, the mark covariance function of a marked random set is in general
Externí odkaz:
http://arxiv.org/abs/0903.2388
Publikováno v:
In Spatial Statistics August 2018 26:83-100
Publikováno v:
In Probabilistic Engineering Mechanics April 2015 40:36-41
Autor:
Süß Wolfgang, Stucky Karl-Uwe, Schweikert Jan, Koubaa Mohamed Anis, Ballani Felix, Steinmeier Leon
Publikováno v:
Helmholtz Metadata Collaboration-Conference 2022, 05.-06.10.2022, Kiel, Deutschland
Five Helmholtz Centers are participating in the Research Field Energy, three of them are directly contributing to Hub Energy. To be well prepared for their supporting tasks in establishing a FAIR data ecosystem within the energy research community at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3319cef0ea478823f85fdbfa75aeffa0
Autor:
Suess, Wolfgang, Schweikert, Jan, Stucky, K.-U., Koubaa, Mohamed Anis, Steinmeier, Leon, Ballani, Felix, Hoyer-Klick, Carsten
Ein Teil des Helmholtz-Inkubators Information und Data Science ist die Helmholtz Metadata Collaboration (HMC). HMC soll die Beschreibung von Forschungsdaten durch Metadaten zu deren besseren Auffindbarkeit vorantreiben sowie organisatorisch und techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c80758e848b5ebaadf8cb748b49b4d0
https://publikationen.bibliothek.kit.edu/1000157933
https://publikationen.bibliothek.kit.edu/1000157933