We present new methodology and a case study in use of a class of Bayesian predictive synthesis (BPS) models for multivariate time series forecasting. This extends the foundational BPS framework to the multivariate setting, with detailed application in the topical and challenging context of...

This study focus on the relationship between crime and business cycle in Argentina, at national and provincial level, using monthly time series for the period 1999-2008. For that end we examine the presence of common factors (interpreted as cyclical components) driving the dynamics of a set of...

Structural equation models (SEM) are commonly used to analyze the relationship between variables some of which may be latent, such as individual ``attitude'' to and ``behavior'' concerning specific issues. A number of difficulties arise when we want to compare a large number of groups, each with...