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Vine copula selection using mutual information for hydrological dependence modeling.
Ni, Lingling; Wang, Dong; Wu, Jianfeng; Wang, Yuankun; Tao, Yuwei; Zhang, Jianyun; Liu, Jiufu; Xie, Fei.
Afiliação
  • Ni L; Key Laboratory of Surficial Geochemistry, Ministry of Education, Department of Hydrosciences, School of Earth Sciences and Engineering, Nanjing University, Nanjing, 210023, PR China.
  • Wang D; Key Laboratory of Surficial Geochemistry, Ministry of Education, Department of Hydrosciences, School of Earth Sciences and Engineering, Nanjing University, Nanjing, 210023, PR China. Electronic address: wangdong@nju.edu.cn.
  • Wu J; Key Laboratory of Surficial Geochemistry, Ministry of Education, Department of Hydrosciences, School of Earth Sciences and Engineering, Nanjing University, Nanjing, 210023, PR China. Electronic address: jfwu@nju.edu.cn.
  • Wang Y; Key Laboratory of Surficial Geochemistry, Ministry of Education, Department of Hydrosciences, School of Earth Sciences and Engineering, Nanjing University, Nanjing, 210023, PR China.
  • Tao Y; Key Laboratory of Surficial Geochemistry, Ministry of Education, Department of Hydrosciences, School of Earth Sciences and Engineering, Nanjing University, Nanjing, 210023, PR China.
  • Zhang J; Nanjing Hydraulic Research Institute, Nanjing, PR China.
  • Liu J; Nanjing Hydraulic Research Institute, Nanjing, PR China.
  • Xie F; Jiangsu Academy of Forestry, Nanjing, PR China.
Environ Res ; 186: 109604, 2020 07.
Article em En | MEDLINE | ID: mdl-32380245
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hidrologia / Modelos Estatísticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Environ Res Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hidrologia / Modelos Estatísticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Environ Res Ano de publicação: 2020 Tipo de documento: Article