Tools for survival analysis
While survival analysis has been present in academia for quite some time, a lot of data scientist today focus more on neuronal networks, decision trees, random forest, grid search, KNN etc. However, the discipline of survival analysis has gained popularity in various applications. This is the case whenever an analyst it not only interested if an event occurs but rather when the event occurs. In modeling credit risk it is of particular interest when a loan default over time and in turn, understanding how the default probabilities change over time. In this context, survival analysis can help answer questions like: […]