In EU countries, knowledge on spatial disparities in overall price level is extremely scarce. When interregional price disparities are large, however, nominal income measures fail to assess prosperity and the catch-up processes of regions. Despite its importance for regional policy, no official...

Regional price levels should play important role in any regional analysis as plenty of indicators must be used in relation to the regional price levels and reflect the purchasing power in a particular region. The common approach in contemporary regional analyses is to use regional indicators...

We perform a theoretical investigation of the variance of the cross-validation estimate of the generalization error that takes into account the variability due to the choice of training sets and test examples. This allows us to propose two new estimators of this variance. We show, via...

In statistical machine learning, the standard measure of accuracy for models is the prediction error, i.e. the expected loss on future examples. When the data distribution is unknown, it cannot be computed but several resampling methods, such as K-fold cross-validation can be used to obtain an...

Current statistical inference problems in genomic data analysis involve parameter estimation for high-dimensional multivariate distributions, with typically unknown and intricate correlation patterns among variables. Addressing these inference questions satisfactorily requires: (i) an intensive...