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Inference for heavy-tailed data analysis: applications in insurance and finance

Detalles Bibliográficos
Autores principales: Peng, Liang, Qi, Yongcheng
Lenguaje:eng
Publicado: Elsevier Science & Technology 2017
Materias:
Acceso en línea:http://cds.cern.ch/record/2317816
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author Peng, Liang
Qi, Yongcheng
author_facet Peng, Liang
Qi, Yongcheng
author_sort Peng, Liang
collection CERN
id cern-2317816
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
publisher Elsevier Science & Technology
record_format invenio
spelling cern-23178162021-04-21T18:49:48Zhttp://cds.cern.ch/record/2317816engPeng, LiangQi, YongchengInference for heavy-tailed data analysis: applications in insurance and financeMathematical Physics and MathematicsElsevier Science & Technologyoai:cds.cern.ch:23178162017
spellingShingle Mathematical Physics and Mathematics
Peng, Liang
Qi, Yongcheng
Inference for heavy-tailed data analysis: applications in insurance and finance
title Inference for heavy-tailed data analysis: applications in insurance and finance
title_full Inference for heavy-tailed data analysis: applications in insurance and finance
title_fullStr Inference for heavy-tailed data analysis: applications in insurance and finance
title_full_unstemmed Inference for heavy-tailed data analysis: applications in insurance and finance
title_short Inference for heavy-tailed data analysis: applications in insurance and finance
title_sort inference for heavy-tailed data analysis: applications in insurance and finance
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/2317816
work_keys_str_mv AT pengliang inferenceforheavytaileddataanalysisapplicationsininsuranceandfinance
AT qiyongcheng inferenceforheavytaileddataanalysisapplicationsininsuranceandfinance