Probit ("probability unit") regression is a classical machine learning technique that can be used for binary classification -- predicting an outcome that can only be one of two discrete values. For ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation We compare how logit (fixed effects) and probit early warning systems (EWS) predict insample and out-of-sample currency ...

The estimation of empirical models is essential to public policy analysis and social science research. Ordinary Least Squares (OLS) regression analysis is the most frequently used empirical model, and ...

Scholars of international relations increasingly use temporal dependence variables (polynomials or splines) to control for unmodeled duration dependence in nonlinear models (such as logit or probit) ...

The search for objective analysis in the cause of making informed investment decisions is the Holy Grail of finance. Unfortunately, narrative risk continually threatens to derail us on our crucial ...

This is a preview. Log in through your library . Abstract As tour-based methods for activity and travel participation patterns replace trip-based methods, time-of-day (TOD) choice modeling remains ...