Complex Risk Statistics with Scenario Analysis
Complex risk is a critical factor for both intelligent systems and risk management. In this paper, we consider a special class of risk statistics, named complex risk statistics. Our result provides a new approach for addressing complex risk, especially in deep neural networks. By further developing...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/8826517 |
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| _version_ | 1832560636556476416 |
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| author | Fei Sun Yichuan Dong |
| author_facet | Fei Sun Yichuan Dong |
| author_sort | Fei Sun |
| collection | DOAJ |
| description | Complex risk is a critical factor for both intelligent systems and risk management. In this paper, we consider a special class of risk statistics, named complex risk statistics. Our result provides a new approach for addressing complex risk, especially in deep neural networks. By further developing the properties related to complex risk statistics, we are able to derive dual representations for such risk. |
| format | Article |
| id | doaj-art-eb726815eed548f9984710faac78ed14 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-eb726815eed548f9984710faac78ed142025-02-03T01:27:08ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/88265178826517Complex Risk Statistics with Scenario AnalysisFei Sun0Yichuan Dong1School of Mathematics and Computational Science, Wuyi University, Jiangmen 529020, ChinaNational Supercomputing Center in Shenzhen, Shenzhen 518055, ChinaComplex risk is a critical factor for both intelligent systems and risk management. In this paper, we consider a special class of risk statistics, named complex risk statistics. Our result provides a new approach for addressing complex risk, especially in deep neural networks. By further developing the properties related to complex risk statistics, we are able to derive dual representations for such risk.http://dx.doi.org/10.1155/2021/8826517 |
| spellingShingle | Fei Sun Yichuan Dong Complex Risk Statistics with Scenario Analysis Complexity |
| title | Complex Risk Statistics with Scenario Analysis |
| title_full | Complex Risk Statistics with Scenario Analysis |
| title_fullStr | Complex Risk Statistics with Scenario Analysis |
| title_full_unstemmed | Complex Risk Statistics with Scenario Analysis |
| title_short | Complex Risk Statistics with Scenario Analysis |
| title_sort | complex risk statistics with scenario analysis |
| url | http://dx.doi.org/10.1155/2021/8826517 |
| work_keys_str_mv | AT feisun complexriskstatisticswithscenarioanalysis AT yichuandong complexriskstatisticswithscenarioanalysis |