Common ordinal models, including the ordered logit model and the continuation ratio model, are formulated by a common score (ie, a linear combination of given explanatory variables) plus rank-specific ...

This paper presents a backtesting framework for a probability of default (PD) model, assuming that the latter is calibrated to both point-in-time (PIT) and through-the-cycle (TTC) levels. We claim ...

Computer scientists have developed what they believe to be the first data-based answer to how long it will take for a house to sell. Their machine-learning solution innovatively draws upon methodology ...

Proportional reasoning failures seem to constitute most errors in probabilistic reasoning, yet there is little empirical evidence about its role for attaining probabilistic knowledge and how to ...