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
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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
Logistic regression risk prediction model - poor calibration but
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
Exposure at default models with and without the credit conversion
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
Parametric and Non-Parametric Regression Methods
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
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
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) Cost of Explainability in AI: An Example with Credit Scoring
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
Cost of Explainability in AI: An Example with Credit Scoring
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
How to Calibrate Probabilities for Imbalanced Classification
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
Designing Credit Scoring Systems with ML Components
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
Beyond discrimination: A comparison of calibration methods and
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
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