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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

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Last updated 12 abril 2025
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
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
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
Measuring Calibration Accuracy of Modern PD Models
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
A mixture model for credit card exposure at default using the
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
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
PDF) Credit Scoring and Default Risk Prediction: A Comparative
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) Assessing Credit Default using Logistic Regression 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
Sustainability, 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
Predictably Unequal? The Effects of Machine Learning on Credit
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