This paper describes a semiparametric Bayesian method for analyzing duration data. The proposed estimator specifies a complete functional form for duration spells, but allows flexibility by introducing an individual heterogeneity term, which follows a Dirichlet mixture distribution. I show how...

A general model is proposed for flexibly estimating the density of a continuous response variable conditional on a possibly high-dimensional set of covariates. The model is a finite mixture of asymmetric student-t densities with covariate dependent mixture weights. The four parameters of the...

Smooth mixtures, i.e. mixture models with covariate-dependent mixing weights, are very useful flexible models for conditional densities. Previous work shows that using too simple mixture components for modeling heteroscedastic and/or heavy tailed data can give a poor fit, even with a large...

Operationelle Risiken stellen für Banken nach dem Kreditrisiko die zweitwichtigste Risikokategorie dar. Ein effektives Risikomanagement der operationellen Risiken dürfte in Zukunft ein entscheidender Wettbewerbsfaktor sein. Im Rahmen der Neuregelung der bankaufsichtsrechtlichen Vorgaben...