首页|Researchers from University of Brasilia Detail Findings in Machine Learning (Pro bability of Default for Lifetime Credit Loss for Ifrs 9 Using Machine Learning C ompeting Risks Survival Analysis Models)
Researchers from University of Brasilia Detail Findings in Machine Learning (Pro bability of Default for Lifetime Credit Loss for Ifrs 9 Using Machine Learning C ompeting Risks Survival Analysis Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news reportingoriginating from Brasilia, Brazil, by NewsRx correspondents, research stated, “This study introduces amachine lea rning competing risks survival analysis model aiming at exploring the Probabilit y of Defaultcomponent of credit risk. Due to modeling of a cumulative probabili ty of default over time, the model isapplicable to assess Lifetime Expected Cre dit Loss under the International Financial Reporting Standard(IFRS) 9 regulatio n for financial institutions.”
BrasiliaBrazilSouth AmericaCyborgsEmerging TechnologiesInvestment and FinanceMachine LearningUniversity of Brasilia
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