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Survival versions with time-various covariates (TVCs) are commonly used in the literature on credit history possibility prediction. Having said that, when these covariates are endogenous, the inclusion treatment has actually been restricted to procedures such as lagging these variables or dealing with them as exogenous. That contributes to feasible
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We propose a different dynamic modeling framework for credit threat evaluation that extends the prevailing credit history scoring designs designed upon historic data static configurations. The driving thought mimics the basic principle of movies, by composing the design which has a sequence of snapshots, instead of only one photograph. In doing thi
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