Pages that link to "Item:Q3552630"
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The following pages link to Assessing the default risk by means of a discrete-time survival analysis approach (Q3552630):
Displaying 10 items.
- Cure events in default prediction (Q296900) (← links)
- The stability of survival model parameter estimates for predicting the probability of default: empirical evidence over the credit crisis (Q320972) (← links)
- Random survival forests models for SME credit risk measurement (Q398807) (← links)
- Predicting SME's default: are their websites informative? (Q2036976) (← links)
- Credit scoring with macroeconomic variables using survival analysis (Q4933653) (← links)
- Discrete-time survival trees and forests with time-varying covariates (Q5193314) (← links)
- FEATURES SELECTION USING PARAMETRIC AND NON-PARAMETRIC METHODS: TAG SNPs SELECTION USING GA-SVM AND GA-KNN (Q5894046) (← links)
- Forecasting retained earnings of privately held companies with PCA and \(L^1\) regression (Q6570577) (← links)
- Default risk analysis via a discrete-time cure rate model (Q6571859) (← links)
- Lost in a black-box? Interpretable machine learning for assessing Italian SMEs default (Q6581548) (← links)
