L
Lore Dirick
Researcher at Katholieke Universiteit Leuven
Publications - Â 8
Citations - Â 150
Lore Dirick is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Feature selection & Credit risk. The author has an hindex of 3, co-authored 8 publications receiving 99 citations.
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Time to default in credit scoring using survival analysis: a benchmark study
TL;DR: It is found that spline-based methods and the single event mixture cure model perform well in the credit risk context.
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An Akaike information criterion for multiple event mixture cure models
TL;DR: The proper form of the Akaike information criterion for variable selection for mixture cure models, which are often fit via the expectation–maximization algorithm, is derived and used in a simulation study.
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Macro-Economic Factors in Credit Risk Calculations: Including Time-Varying Covariates in Mixture Cure Models
TL;DR: This paper extended the mixture cure model to include time-varying covariates to predict the time of default in a credit risk setting via survival analysis with a high censoring rate into account.
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A hierarchical mixture cure model with unobserved heterogeneity for credit risk
TL;DR: Simulations and a data analysis illustrate the applicability and benefits of mixture cure models, and in particular an improved event time estimation.