In this paper we introduce two general non-parametric first-order stationary time-series models for which marginal (invariant) and transition distributions are expressed as infinite-dimensional mixtures. That feature makes them the first Bayesian stationary fully non-parametric models developed...

It was in the 1990's when the concept of Operational Risk was defined, since then the institutions, especially those in the financial sector, are worried about this type of risk since their exposure could have fatal consequences. In case of the insurance sector its study originates due to the...

In this paper we introduce two general non-parametric first-order stationary time-series models for which marginal (invariant) and transition distributions are expressed as infinite-dimensional mixtures. That feature makes them the first Bayesian stationary fully non-parametric models developed...

It was in the 1990’s when the concept of Operational Risk was defined, since then the institutions, especially those in the financial sector, are worried about this type of risk since their exposure could have fatal consequences. In case of the insurance sector its study originates due to the...

In the survey analysis, the missing data problem can be managed by using Multiple Imputation (MI) methods. In this paper we show the empirical application of MI methods to the financial variables included in Chile’s Social Protection Survey 2004. Based on

This study analyzes the elasticities of demand and income from electricity for domestic and industrial use, for Colombia (2000-2011), by estimating demand equations by OLS. The impacts on macroeconomic variables, which generate changes in the price of electricity, are also estimated by using a...

This study analyzes the elasticities of demand and income from electricity for domestic and industrial use, for Colombia (2000-2011), by estimating demand equations by OLS. The impacts on macroeconomic variables, which generate changes in the price of electricity, are also estimated by using a...

Este documento examina la relación existente entre la deuda externa del gobierno nacional y la inversión privada en Colombia entre 1994 y 2007, a partir del modelo de series de tiempo no lineales TAR. La estimación se realizó a través de los métodos MCMC y el enfoque bayesiano. Los...

Este documento analiza la relación existente entre la deuda externa pública y la inversiónprivada para Colombia entre 1994 y 2007, a partir del modelo de series de tiempo no linealesTAR. La estimación del modelo se realizó a través de los métodos MCMC y el enfoquebayesiano. Los resultados...

Este documento analiza la relación existente entre la deuda externa pública y la inversión privada para Colombia entre 1994 y 2007, a partir del modelo de series de tiempo no lineales TAR. La estimación del modelo se realizó a través de los métodos MCMC y el enfoque bayesiano. Los...