Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Edita Kizinevič"'
Publikováno v:
Modern Stochastics: Theory and Applications, Vol 3, Iss 2, Pp 165-179 (2016)
Let $\{\xi _{1},\xi _{2},\dots \}$ be a sequence of independent random variables, and η be a counting random variable independent of this sequence. We consider conditions for $\{\xi _{1},\xi _{2},\dots \}$ and η under which the distribution functio
Externí odkaz:
https://doaj.org/article/e975535ba6f849fc9e567952b7aed579
The Exponential Estimate of the Ultimate Ruin Probability for the Non-Homogeneous Renewal Risk Model
Autor:
Edita Kizinevič, Jonas Šiaulys
Publikováno v:
Risks, Vol 6, Iss 1, p 20 (2018)
In this work, the non-homogeneous risk model is considered. In such a model, claims and inter-arrival times are independent but possibly non-identically distributed. The easily verifiable conditions are found such that the ultimate ruin probability o
Externí odkaz:
https://doaj.org/article/56ac4d6456134a55aac89158d0640021
Autor:
Julia Andreeva, Lorena Lobato Pardavila, Panos Paparrigopoulos, Alexey Anisenkov, Marian Zvada, Krista Majewski, Edita Kizinevič, Marco Mascheroni, James Letts, Bruno Coimbra, Alessandro Di Girolamo, Saqib Haleem, Marco Mambelli, Antonio María Pérez-Calero Yzquierdo, Dennis Box, J M Dost
Publikováno v:
EPJ Web of Conferences, Vol 245, p 03023 (2020)
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019), University Adelaide, Adelaide, Australia, November 04-08, 2019, EDP Sciences, 2020, art. no. 03023, p. [1-8]
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019), University Adelaide, Adelaide, Australia, November 04-08, 2019, EDP Sciences, 2020, art. no. 03023, p. [1-8]
GlideinWMS is a workload management and provisioning system that allows sharing computing resources distributed over independent sites. Based on the requests made by GlideinWMS frontends, a dynamically sized pool of resources is created by GlideinWMS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba312397e8cad744917885618bae5a83
https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_03023.pdf
https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_03023.pdf
Autor:
Edita Kizinevič, Todor Trendafilov Ivanov, Farrukh Aftab Khan, Kenyi Hurtado Anampa, Maria Acosta Flechas, Antonio Pérez-Calero Yzquierdo, James Letts, K Larson, Saqib Haleem, David Mason, Marco Mascheroni, Diego Davila Foyo
Publikováno v:
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019), University Adelaide, Adelaide, Australia, November 04-08, 2019, EDP Sciences, 2020, art. no. 03016, p. [1-8]
EPJ Web of Conferences, Vol 245, p 03016 (2020)
EPJ Web of Conferences, Vol 245, p 03016 (2020)
Efforts in distributed computing of the CMS experiment at the LHC at CERN are now focusing on the functionality required to fulfill the projected needs for the HL-LHC era. Cloud and HPC resources are expected to be dominant relative to resources prov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::855cf7f55be5b5692e01b99559f4bf95
https://repository.vu.lt/VU:ELABAPDB126821934&prefLang=en_US
https://repository.vu.lt/VU:ELABAPDB126821934&prefLang=en_US
