The Bayesian Approach to Default Risk: A Guide
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Cited by:
- Carlos Perez Montes, 2015. "Estimation of Regulatory Credit Risk Models," Journal of Financial Services Research, Springer;Western Finance Association, vol. 48(2), pages 161-191, October.
- V L Miguéis & D F Benoit & D Van den Poel, 2013.
"Enhanced decision support in credit scoring using Bayesian binary quantile regression,"
Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(9), pages 1374-1383, September.
- V. L. Miguéis & D. F. Benoit & D. Van Den Poel, 2012. "Enhanced Decision Support in Credit Scoring Using Bayesian Binary Quantile Regression," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/803, Ghent University, Faculty of Economics and Business Administration.
- Yi-Ping Chang & Chih-Tun Yu, 2014. "Bayesian confidence intervals for probability of default and asset correlation of portfolio credit risk," Computational Statistics, Springer, vol. 29(1), pages 331-361, February.
- Aneta Ptak-Chmielewska & Paweł Kopciuszewski, 2022. "New Definition of Default—Recalibration of Credit Risk Models Using Bayesian Approach," Risks, MDPI, vol. 10(1), pages 1-16, January.
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