This master thesis discusses selected topics of Functional Data Analysis (FDA). FDA deals with the random variables (and process) with realizations in the (smooth) functional space. The first part of this thesis introduces the basic assumptions, notation and ideas of FDA, here we will mainly...

This paper depicts a typology of regions, capturing the diversity of regional innovationsystems across the EU-10 (the enlargement member States). Following the RegionalInnovation Systems (RIS) literature, our research selects 21 variables related to theability of a region to generate and absorb...

The Environmental Sustainability Index (ESI) has been proposed by collaboration of the World Economic Forum, Geneva, Center for International Earth Science Information Network, Columbia University, and Yale Center for Environmental Law and Policy, New Haven as a measure of the overall state of...

It is well known that income per capita and most widely reported non-economic well-being achievement measures are highly correlated among countries. Yet many countries exhibit higher achievement in the latter than predicted by the former. The reverse is true for many other countries. This paper...

The aim of this research is to examine the reasons of the level of FDI inflow differences among countries and try to understand why some countries are more attractive for investors. The research used a dataset of 103 countries for due to data availability and created a FDI Inflow Index for 2016....

En este trabajo se analiza el posicionamiento económico de España en el exterior, mediante la elaboración de un indicador sintético que toma en consideración los intercambios comerciales (bienes, servicios y turismo) y las posiciones de inversión extranjera directa, agregados a través de...

Abstract. In many cost-sensitive environments class probabilityestimates are used by decision makers to evaluate the expected utilityfrom a set of alternatives. Supervised learning can be used to buildclass probability estimates; however, it often is very costly to obtaintraining data with class...

The purpose of this paper is to present a rank based approach to cross-sectionallinear factor modelling. The emphasis is on approximating factor exposures in aconsistent manner in order to facilitate the merging of subjective information(from professional investors) with objective information...

Comparative risk projects can provide broad policy guidance but they rarely have adequate scientific foundations to support precise risk rankings. Many extant projects report rankings anyway, with limited attention to uncertainty. Stochastic uncertainty, structural uncertainty, and ignorance are...