@deburky

Robust Logistic Regression

Poisson Models

Default Prediction with Neural Networks

Neural Networks

Contingency Tables and Classification

Logistic Regression Inference

Logistic Regression

Random Forests

SHAP Scoring

CAP Curve and Recall @ Top p

KAN Boosting

Boosting Beyond Trees

WoeBoost

Visualizing Gradient Boosting

XGBoost to Logistic Regression

Explainable Scorecard Boosting (xbooster)

Additive Logistic Regression

Gradient Boosting

Enhancing Credit Scorecards with Boosting

Exploring Interpretable Scorecard Boosting

Benchmarking PD Models

WOE, Log Odds, and Standard Errors

From WOE to Logistic Regression

WOE for Text Classification

Scorecarding with Naive Bayes

Credit Risk Modeling with Naive Bayes

WOE estimators for PD Models

Building Random Forest Scorecards

Understanding LGD Risk

Validating Tree-Based Risk Models

Designing Credit Scoring Systems with ML Components

Fairness in Credit Scoring

Class Imbalance in Credit Scoring

Calibration and Model Selection

Loss Functions for PD Models