Paulo Henrique Dourado
Banco do Brasil
Paulo Dourado holds a Ph.D. in Statistics from the University of São Paulo (USP). He has expertise in generalized linear models, regression models under complex sampling designs, probability distribution modeling, econometrics, machine learning, and artificial intelligence. He currently works as a specialist in the validation of machine learning and generative AI models at Banco do Brasil.
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Articles by Paulo Henrique Dourado
Beyond mirror validation: the cost of ineffective challenge in model risk management
The authors demonstrate that the practice of confirming a developer’s model is correctly reimplemented and discrimination metrics are acceptable while leaving calibration under changing conditions unchallenged fails to detect calibration degradation.