Pages that link to "Item:Q2643976"
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The following pages link to Recent developments in consumer credit risk assessment (Q2643976):
Displaying 37 items.
- Development and application of consumer credit scoring models using profit-based classification measures (Q144224) (← links)
- Cure events in default prediction (Q296900) (← links)
- Identifying future defaulters: a hierarchical Bayesian method (Q299813) (← links)
- Adapting a classification rule to local and global shift when only unlabelled data are available (Q319045) (← links)
- The financing of innovative SMEs: a multicriteria credit rating model (Q319403) (← links)
- Benchmarking state-of-the-art classification algorithms for credit scoring: an update of research (Q319944) (← links)
- An empirical comparison of classification algorithms for mortgage default prediction: evidence from a distressed mortgage market (Q320966) (← links)
- Accuracy of mortgage portfolio risk forecasts during financial crises (Q320969) (← links)
- Mixture cure models in credit scoring: if and when borrowers default (Q439468) (← links)
- Weight-selected attribute bagging for credit scoring (Q473541) (← links)
- Credit scoring for profitability objectives (Q1039802) (← links)
- A reference model for customer-centric data mining with support vector machines (Q1042173) (← links)
- A new approach for credit scoring by directly maximizing the Kolmogorov-Smirnov statistic (Q1727903) (← links)
- Trade credit contracting under asymmetric credit default risk: screening, checking or insurance (Q1754117) (← links)
- Predicting loss severities for residential mortgage loans: a three-step selection approach (Q1754749) (← links)
- Predicting repayment of the credit card debt (Q1762040) (← links)
- Forecasting and decomposition of portfolio credit risk using macroeconomic and frailty factors (Q1994418) (← links)
- Predicting mortgage early delinquency with machine learning methods (Q2029349) (← links)
- Fairness in credit scoring: assessment, implementation and profit implications (Q2060424) (← links)
- Subsidize or not: the competition of credit card and online credit in platform-based supply chain system (Q2098035) (← links)
- Credit default prediction from user-generated text in peer-to-peer lending using deep learning (Q2140350) (← links)
- Credit offering strategy and dynamic pricing in the presence of consumer strategic behavior (Q2158032) (← links)
- Interaction between financial risk measures and machine learning methods (Q2355190) (← links)
- Quantitative credit risk monitoring using purchase order information (Q3121488) (← links)
- Not if but when will borrowers default (Q3154435) (← links)
- Predictive models of expenditure and over-indebtedness for assessing the affordability of new consumer credit applications (Q3418851) (← links)
- Recent Advances in Credit Risk Management (Q3606100) (← links)
- Assessing and managing credit risk in retail financial services (Q4532791) (← links)
- Modelling consumer credit risk (Q4532792) (← links)
- Optimal cut-off for rare events and unbalanced misclassification costs (Q5128674) (← links)
- Mixture Cure Models in Prediction of Time to Default: Comparison with Logit and Cox Models (Q5240338) (← links)
- CREDIT SCORING MODELS WITH AUC MAXIMIZATION BASED ON WEIGHTED SVM (Q5305099) (← links)
- The impact of sample bias on consumer credit scoring performance and profitability (Q5313404) (← links)
- A logistic regression model for consumer default risk (Q5861453) (← links)
- Editorial (Q5965520) (← links)
- Machine learning in corporate credit rating assessment using the expanded audit report (Q6097105) (← links)
- Joint models of multivariate longitudinal outcomes and discrete survival data with INLA: an application to credit repayment behaviour (Q6168507) (← links)
