Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

Our eLibrary offers over 25,000 IMF publications in multiple formats. Model selection and forecasting in stress tests can be facilitated using machine learning techniques. These techniques have proved ...

Model selection methods have shown to be useful in the process of econometric modelling. The paper studies robust Akaike—Schwarz type information criteria of model choice within the Cox model. The ...

Application of classical model selection methods such as Akaike's information criterion (AIC) becomes problematic when observations are missing. In this article we propose some variations on the AIC, ...