References
- BaesensBGestelTViaeneSStepanovaMSuykensJVanthienenJBenchmarking state-of-the-art classification algorithms for credit scoringJournal of the Operational Research Society200354662763510.1057/palgrave.jors.2601545
- BanasikJCrookJThomasLNot if but when will borrowers defaultThe Journal of the Operational Research Society199950121185119010.1057/palgrave.jors.2600851
- BellottiTCrookJCredit scoring with macroeconomic variables using survival analysisThe Journal of the Operational Research Society200960121699170710.1057/jors.2008.130
- BellottiTCrookJForecasting and stress testing credit card default using dynamic modelsInternational Journal of Forecasting201329456357410.1016/j.ijforecast.2013.04.003
- BellottiTCrookJRetail credit stress testing using a discrete hazard model with macroeconomic factorsJournal of the Operational Research Society201465334035010.1057/jors.2013.91
- CaiCZouYPengYZhangJsmcure: An R-package for estimating semiparametric mixture cure modelsComputer Methods and Programs in Biomedicine20121081255126010.1016/j.cmpb.2012.08.013
- Cai C, Zou Y, Peng Y, Zhang J (2012b). smcure: Fit Semiparametric Mixture Cure Models. R package version 2.0. https://CRAN.R-project.org/package=smcure.
- CaoRVilarJMDeviaAModelling consumer credit risk via survival analysisSORT2009331330
- CollettDModelling Survival Data in Medical Research20032Boca Raton, FloridaChapman & Hall/CRC Texts in Statistical Science, CRC Press
- CoxDOakesDAnalysis of Survival Data1984Boca Raton, FloridaChapman & Hall/CRC Monographs on Statistics & Applied Probability
- CoxDRRegression models and life-tablesJournal of the Royal Statistical Society. Series B (Methodological)1972342187220
- de Boor C (2001). A Practical Guide to Splines. Applied Mathematical Sciences. Springer: New York.
- DejaegerKVerbekeWMartensDBaesensBData mining techniques for software effort estimation: A comparative studySoftware Engineering, IEEE Transactions on201238237539710.1109/TSE.2011.55
- DirickLClaeskensGBaesensBAn Akaike information criterion for multiple event mixture cure modelsEuropean Journal of Operational Research2015241244945710.1016/j.ejor.2014.08.038
- EilersPHCRijnmondDMMarxBDFlexible smoothing with B-splines and penaltiesStatistical Science19961128912110.1214/ss/1038425655
- FantazziniDFiginiSRandom survival forests models for sme credit risk measurementMethodology and Computing in Applied Probability2009111294510.1007/s11009-008-9078-2
- FarewellVTThe use of micture models for the analysis of survival data with long-term survivorsBiometrics19823841041104610.2307/2529885
- Gupta J, Gregoriou A and Ebrahimi T (2015). Using Hazard Models Correctly: A Comparison Employing Different Definitions of SMES Financial Distress, pp 1–50. Available at SSRN:http://ssrn.com/abstract=2457917.
- HeagertyPSahaPSurvivalROC: Time-dependent ROC curve estimation from censored survival dataBiometrics200056233734410.1111/j.0006-341X.2000.00337.x
- HolmesPHuntAStoneIAn analysis of new firm survival using a hazard functionApplied Economics201042218519510.1080/00036840701579234
- KalbfleischJPrenticeRThe Statistical Analysis of Failure Time Data20022New JerseyJohn Wiley & Sons
- KellisonSGIrwinRDThe theory of interest1991ILIrwin Homewood
- Klein J and Moeschberger M (2003). Survival Analysis: Techniques for Censored and Truncated Data. Statistics for Biology and Health. Springer: Berlin.
- Kleinbaum D and Klein M (2011). Survival Analysis: A Self-Learning Text, Third Edition. Statistics for Biology and Health. Springer.
- LeowMCrookJThe stability of survival model parameter estimates for predicting the probability of default: Empirical evidence over the credit crisisEuropean Journal of Operational Research2016249245746410.1016/j.ejor.2014.09.005
- LotermanGBrownIMartensDMuesCBaesensBBenchmarking regression algorithms for loss given default modelingInternational Journal of Forecasting201228116117010.1016/j.ijforecast.2011.01.006
- MaPCrookJAnsellJModelling take-up and profitabilityJournal of the Operational Research Society201061343044210.1057/jors.2009.33
- NarainBThomasLCCrookJNEdelmanDBSurvival analysis and the credit granting decisionCredit Scoring and Credit Control1992OxfordClarendon Press109121
- O’SullivanFA statistical perspective on ill-posed inverse problemsStatistical Science19861450251810.1214/ss/1177013525
- PengYDearKA nonparametric micture model for cure rate estimationBiometrics200056122723610.1111/j.0006-341X.2000.00237.x
- RuppertDWandMPCarrollRJSemiparametric regression2003CambridgeCambridge University Press
- StepanovaMThomasLPHAB scores—Proportional hazards analysis behavioural scoresThe Journal of the Operational Research Society20014191007101610.1057/palgrave.jors.2601189
- StepanovaMThomasLSurvival analysis methods for personal loan dataOperations Research Quarterly200250227728910.1287/opre.50.2.277.426
- SyJTaylorJEstimation in a Cox proportional hazards cure modelBiometrics200056122723610.1111/j.0006-341X.2000.00227.x
- Therneau T (2015). A Package for Survival Analysis in S. R package version 2.37-7. http://CRAN.R-project.org/package=survival.
- TherneauTMGrambschPMModeling Survival Data: Extending the Cox Model2000New YorkSpringer
- Thomas L, Edelman D and Crook J (2002). Credit Scoring and Its Applications. Monographs on Mathematical Modeling and Computation. Society for Industrial and Applied Mathematics: Philadelphia.
- TongENCMuesCThomasLCMixture cure models in credit scoring: if and when borrowers defaultEuropean Journal of Operational Research2012218113213910.1016/j.ejor.2011.10.007
- WatkinsJGTVasnevALGerlachRMultiple event incidence and duration analysis for credit data incorporating non-stochastic loan maturityJournal of Applied Econometrics201429462764810.1002/jae.2329
- ZhangJThomasLComparisons of linear regression and survival analysis using single and mixture distributions approaches in modelling LGDInternational Journal of Forecasting201218220421510.1016/j.ijforecast.2010.06.002