Addressing the EU sovereign ratings using an ordinal regression approach

IEEE Transactions on Cybernetics

Volumn 43, Issue 6, 2013, Pages 2228-2240

  Fernández Navarro, Francisco ^a,b   Campoy Muñoz, Pilar ^a   La Paz Marín, Mónica De ^a   Hervás Martínez, César ^a   Yao, Xin ^c  

^a UNIVERSITY OF CÓRDOBA   (Spain)

^b EUROPEAN SPACE AGENCY   (Netherlands)

^c UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

Country risk detection; Negative correlation learning (NCL); Neural networks; Ordinal regression

Indexed keywords

COUNTRY RISKS; CREDIT RATINGS; DIFFERENT CLASS; EUROPEAN COUNTRIES; EUROPEAN DEBT CRISIS; NEGATIVE CORRELATION LEARNING; ORDINAL REGRESSION;

DEVELOPING COUNTRIES; NEURAL NETWORKS; REGRESSION ANALYSIS;

RATING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; DECISION SUPPORT SYSTEM; ECONOMICS; EUROPEAN UNION; METHODOLOGY; REGRESSION ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DECISION SUPPORT TECHNIQUES; EUROPEAN UNION; MODELS, ECONOMIC; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS;

EID: 84890120267     PISSN: 21682267     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCC.2013.2247595     Document Type: Article

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