The latent class model provides an important platform for jointly modeling mixed-mode data—i.e., discrete and continuous data with various parametric distributions. Multiple mixed-mode variables are used to cluster subjects into latent classes. While the mixed-mode latent class analysis is a...

This study examines differences in the interest rate response to an ECB policy impulse in the euro area, the new EU-member states, and in the other non-eurozone EU countries in order to gauge the degree of interest rate alignment in Europe. To this end, PANIC, a Panel Analysis of...

This study examines differences in the interest rate response to an ECB policy impulse in the euro area, the new EU-member states, and in the other non-eurozone EU countries in order to gauge the degree of interest rate alignment in Europe. To this end, PANIC, a Panel Analysis of...

It is well known that temporal aggregation has adverse effects on Granger causality tests. Time series are often sampled at different frequencies. This is typically ignored, and data are merely aggregated to the common lowest frequency. We develop a set of Granger causality tests that explicitly...

Random Forests in combination with Stability Selection allow to estimate stable conditional independence graphs with an error control mechanism for false positive selection. This approach is applicable to graphs containing both continuous and discrete variables at the same time. Its performance...

We describe regression models for multivariate mixed responses, where association between outcomes is modeled through discrete, outcome-specific, latent effects, accounting for heterogeneity and dependence. We relax the standard unidimensionality hypothesis, and adopt a multidimensional latent...