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

The probability that a services procurement undertaken by the Spanish Armed Forces becomes null and void is analyzed, as well as the winning bid in the case of procurements which were awarded. To do this, a sample selection model is estimated using data compiled from the Public Sector...

The probability that a services procurement undertaken by the Spanish Armed Forces becomes null and void is analyzed, as well as the winning bid in the case of procurements which were awarded. To do this, a sample selection model is estimated using data compiled from the Public Sector...

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...