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Ecole d'été de probabilités de Saint-Flour XXXV

Lévy processes, i.e. processes in continuous time with stationary and independent increments, are named after Paul Lévy, who made the connection with infinitely divisible distributions and described their structure. They form a flexible class of models, which have been applied to the study of storag...

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Detalles Bibliográficos
Autor principal: Picard, Jean
Lenguaje:eng
Publicado: Springer 2007
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-540-48511-7
http://cds.cern.ch/record/1695943
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author Picard, Jean
author_facet Picard, Jean
author_sort Picard, Jean
collection CERN
description Lévy processes, i.e. processes in continuous time with stationary and independent increments, are named after Paul Lévy, who made the connection with infinitely divisible distributions and described their structure. They form a flexible class of models, which have been applied to the study of storage processes, insurance risk, queues, turbulence, laser cooling, ... and of course finance, where the feature that they include examples having "heavy tails" is particularly important. Their sample path behaviour poses a variety of difficult and fascinating problems. Such problems, and also some related distributional problems, are addressed in detail in these notes that reflect the content of the course given by R. Doney in St. Flour in 2005.
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institution Organización Europea para la Investigación Nuclear
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spelling cern-16959432021-04-25T16:39:19Zdoi:10.1007/978-3-540-48511-7http://cds.cern.ch/record/1695943engPicard, JeanEcole d'été de probabilités de Saint-Flour XXXVMathematical Physics and MathematicsLévy processes, i.e. processes in continuous time with stationary and independent increments, are named after Paul Lévy, who made the connection with infinitely divisible distributions and described their structure. They form a flexible class of models, which have been applied to the study of storage processes, insurance risk, queues, turbulence, laser cooling, ... and of course finance, where the feature that they include examples having "heavy tails" is particularly important. Their sample path behaviour poses a variety of difficult and fascinating problems. Such problems, and also some related distributional problems, are addressed in detail in these notes that reflect the content of the course given by R. Doney in St. Flour in 2005.Springeroai:cds.cern.ch:16959432007
spellingShingle Mathematical Physics and Mathematics
Picard, Jean
Ecole d'été de probabilités de Saint-Flour XXXV
title Ecole d'été de probabilités de Saint-Flour XXXV
title_full Ecole d'été de probabilités de Saint-Flour XXXV
title_fullStr Ecole d'été de probabilités de Saint-Flour XXXV
title_full_unstemmed Ecole d'été de probabilités de Saint-Flour XXXV
title_short Ecole d'été de probabilités de Saint-Flour XXXV
title_sort ecole d'été de probabilités de saint-flour xxxv
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-540-48511-7
http://cds.cern.ch/record/1695943
work_keys_str_mv AT picardjean ecoledetedeprobabilitesdesaintflourxxxv