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Inference for heavy-tailed data analysis: applications in insurance and finance
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Elsevier Science & Technology
2017
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2317816 |
_version_ | 1780958328614027264 |
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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 |