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
Last updated 16 junho 2024
This paper compares four calibration approaches to linear logistic regression in credit risk estimation and proposes two new single-parameter families of
PDF) A logistic regression model for consumer default risk
Calibrating algorithmic predictions with logistic regression
Compare Model Discrimination and Model Calibration to Validate of
Calibration alternatives to logistic regression and their
Calibration alternatives to logistic regression and their
Backtesting of a probability of default model in the point-in-time
Can anyone explain the math of the logistic regression algorithm
Machine Learning in Predictive Toxicology: Recent Applications and
Exposure at default models with and without the credit conversion
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