Spline based survival model for credit risk modeling
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Publication:323267
DOI10.1016/j.ejor.2016.02.050zbMath1346.91252OpenAlexW2302148421MaRDI QIDQ323267
Xiao Kong, Sirong Luo, Tingting Nie
Publication date: 7 October 2016
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2016.02.050
Related Items (3)
Dynamic survival models with varying coefficients for credit risks. ⋮ A classification tree approach for the modeling of competing risks in discrete time ⋮ Benchmarking forecast approaches for mortgage credit risk for forward periods
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Cites Work
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- Constrained smoothing \(B\)-splines for the term structure of interest rates
- Survival analysis. Techniques for censored and truncated data.
- Optimal curve fitting and smoothing using normalized uniform B-splines: a tool for studying complex systems
- Not if but when will borrowers default
- Calculation of Polychotomous Logistic Regression Parameters Using Individualized Regressions
- Survival Analysis Methods for Personal Loan Data
- On the Use of Indicator Variables for Studying the Time-Dependence of Parameters in a Response-Time Model
- The Efficiency of Cox's Likelihood Function for Censored Data
- Spline Functions in Data Analysis
- Applied Logistic Regression
- Credit scoring with macroeconomic variables using survival analysis
- Microeconometrics
- Regression modeling strategies. With applications to linear models, logistic regression and survival analysis
- The elements of statistical learning. Data mining, inference, and prediction
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