The inclusion of your time-various covariates into survival Assessment has led to raised predictions of the time to default in behavioural credit scoring versions. However, when these time-varying covariates are endogenous, there are two important difficulties: estimation bias with the survival product and deficiency of a prediction framework for f
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Survival products with time-various covariates (TVCs) are widely Employed in the literature on credit threat prediction. On the other hand, when these covariates are endogenous, the inclusion process continues to be limited to techniques for instance lagging these variables or managing them as exogenous. That contributes to possible biased estimato
The inclusion of your time-various covariates into survival Investigation has led to better predictions of some time to default in behavioural credit scoring types. On the other hand, when these time-different covariates are endogenous, there are two key challenges: estimation bias of your survival model and lack of a prediction framework for long