Calibration alternatives to logistic regression and their potential for transferring the statistical dispersion of discriminatory power into uncertainties in probabilities of default - Journal of Credit Risk

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This paper compares four calibration approaches to linear logistic regression in credit risk estimation and proposes two new single-parameter families of
Calibration alternatives to logistic regression and their potential for  transferring the statistical dispersion of discriminatory power into  uncertainties in probabilities of default - Journal of Credit Risk
Calibration after bootstrap for accurate uncertainty
Calibration alternatives to logistic regression and their potential for  transferring the statistical dispersion of discriminatory power into  uncertainties in probabilities of default - Journal of Credit Risk
PDF) The art of probability-of-default curve calibration
Calibration alternatives to logistic regression and their potential for  transferring the statistical dispersion of discriminatory power into  uncertainties in probabilities of default - Journal of Credit Risk
How Probability Calibration Can Help You Make Better Predictions
Calibration alternatives to logistic regression and their potential for  transferring the statistical dispersion of discriminatory power into  uncertainties in probabilities of default - Journal of Credit Risk
Calibration alternatives to logistic regression and their
Calibration alternatives to logistic regression and their potential for  transferring the statistical dispersion of discriminatory power into  uncertainties in probabilities of default - Journal of Credit Risk
Calibration alternatives to logistic regression and their
Calibration alternatives to logistic regression and their potential for  transferring the statistical dispersion of discriminatory power into  uncertainties in probabilities of default - Journal of Credit Risk
PDF) Testing Rating Accuracy
Calibration alternatives to logistic regression and their potential for  transferring the statistical dispersion of discriminatory power into  uncertainties in probabilities of default - Journal of Credit Risk
Validation and updating of risk models based on multinomial
Calibration alternatives to logistic regression and their potential for  transferring the statistical dispersion of discriminatory power into  uncertainties in probabilities of default - Journal of Credit Risk
Risks, Free Full-Text
Calibration alternatives to logistic regression and their potential for  transferring the statistical dispersion of discriminatory power into  uncertainties in probabilities of default - Journal of Credit Risk
Choosing the Correct Type of Regression Analysis - Statistics By Jim
Calibration alternatives to logistic regression and their potential for  transferring the statistical dispersion of discriminatory power into  uncertainties in probabilities of default - Journal of Credit Risk
Predictably Unequal? The Effects of Machine Learning on Credit
Calibration alternatives to logistic regression and their potential for  transferring the statistical dispersion of discriminatory power into  uncertainties in probabilities of default - Journal of Credit Risk
Sovereign credit risk modeling using machine learning: a novel
Calibration alternatives to logistic regression and their potential for  transferring the statistical dispersion of discriminatory power into  uncertainties in probabilities of default - Journal of Credit Risk
Loss Given Default Estimations in Emerging Capital Markets
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