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Derivatives analytics with Python: data analysis, models, simulation, calibration and hedging

Detalles Bibliográficos
Autor principal: Hilpisch, Yves J
Lenguaje:eng
Publicado: John Wiley & Sons 2015
Materias:
Acceso en línea:http://cds.cern.ch/record/2113831
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author Hilpisch, Yves J
author_facet Hilpisch, Yves J
author_sort Hilpisch, Yves J
collection CERN
id cern-2113831
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
publisher John Wiley & Sons
record_format invenio
spelling cern-21138312021-04-21T19:58:30Zhttp://cds.cern.ch/record/2113831engHilpisch, Yves JDerivatives analytics with Python: data analysis, models, simulation, calibration and hedgingComputing and ComputersJohn Wiley & Sonsoai:cds.cern.ch:21138312015
spellingShingle Computing and Computers
Hilpisch, Yves J
Derivatives analytics with Python: data analysis, models, simulation, calibration and hedging
title Derivatives analytics with Python: data analysis, models, simulation, calibration and hedging
title_full Derivatives analytics with Python: data analysis, models, simulation, calibration and hedging
title_fullStr Derivatives analytics with Python: data analysis, models, simulation, calibration and hedging
title_full_unstemmed Derivatives analytics with Python: data analysis, models, simulation, calibration and hedging
title_short Derivatives analytics with Python: data analysis, models, simulation, calibration and hedging
title_sort derivatives analytics with python: data analysis, models, simulation, calibration and hedging
topic Computing and Computers
url http://cds.cern.ch/record/2113831
work_keys_str_mv AT hilpischyvesj derivativesanalyticswithpythondataanalysismodelssimulationcalibrationandhedging