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
Por um escritor misterioso
Descrição
This paper compares four calibration approaches to linear logistic regression in credit risk estimation and proposes two new single-parameter families of
Risks, Free Full-Text
Logistic regression risk prediction model - poor calibration but
Exposure at default models with and without the credit conversion
Parametric and Non-Parametric Regression Methods
Calibration alternatives to logistic regression and their
Choosing the Correct Type of Regression Analysis - Statistics By Jim
Calibration alternatives to logistic regression and their
PDF) Cost of Explainability in AI: An Example with Credit Scoring
Cost of Explainability in AI: An Example with Credit Scoring
Predictably Unequal? The Effects of Machine Learning on Credit
How to Calibrate Probabilities for Imbalanced Classification
Designing Credit Scoring Systems with ML Components
Beyond discrimination: A comparison of calibration methods and
PDF) Testing Rating Accuracy