The measure is in the same spirit as Achen's (1982) "level importance" measure for linear models and thus fills an important gap in logit regression analysis. We show, on the basis of simulations and ...

James J. Heckman, Thomas E. Macurdy, A Simultaneous Equations Linear Probability Model, The Canadian Journal of Economics / Revue canadienne d'Economique, Vol. 18, No ...

You construct a generalized linear model by deciding on response and explanatory variables for your data and choosing an appropriate link function and response probability distribution. Some examples ...

The point-in-time rating transition probability, for PD term structure for IFRS9 expected credit loss estimation and CCAR stress testing, is estimated by A forward ordinal probability model structured ...

Unlike conventional linear statistics, circular data is characterised by periodicity and directionality – properties that demand bespoke probability distributions and inference techniques.