The issue of objective prior specification for the parameters in the normal compositional model is considered within the context of statistical analysis of linearly mixed structures in image processing. In particular, the Jeffreys prior for the vector of fractional abundances in case of a known...

In this paper we present a generalization of power indices which includes the preferences of the voters. Using a Multilinear Extension perspective (Owen, 1972a) we measure the probability of the players' voting 'yes' for a particular political issue. Further, we randomize the issues and show the...

This paper explores quantitatively Californians' interest in hybrid electric vehicles (HEV) based on a statewide phone survey conducted in July 2004 by the Public Policy Institute of California. The paper develops ordered choice models and factors that summarise beliefs about energy and the...

Growth regressions have provided important insights into the impact of economic reforms on growth in transition economies. Using principal components to decompose reform variables and construct reform clusters, we address unsettled issues such as the importance of sequencing and reform speed....

This article proposes a modified method for the construction of diffusion indexes in macroeconomic forecasting using principal component regres- sion. The method aims to maximize the amount of variance of the origi- nal predictor variables retained by the diffusion indexes, by matching the data...

We exploit the new historical national accounts data for Italy over the period 1861-2010, built by Banca d'Italia and Istat, with the collaboration of the University of Rome "Tor Vergata". In the first part of the paper, a thorough study of the new data's statistical properties is presented...