sets simulated for Full Signal Detection Theory and its special cases of standard Signal Detection Theory and Complementary … Signal Detection Theory. …

preferences beyond the classical concept of expected utility theory. The thesis contains four main chapters.The first two chapters … dependence compared to classical models of expected utility theory. It is shown that some empirical puzzles concerning … utility theory are met. It is shown that the methodological concerns are empirically relevant when a classification of …

step towards a Comprehensive Neo-Schumpeterian theory of Development(CNSD) allowing synthesizing the three mentioned … development approaches andputting the agents into the centre of interest. The theoretical part of this paper identifies(i) freedom … combination of the interconnected and mutuallyreinforcing factors knowledge, freedom and future-oriented economic structure …

My thesis investigates how freedom of choice can be integrated into economic welfare analysis. The first part examines … existing static axiomatizations of freedom of choice and works out their implicit normative assumptions and shortcomings. I … derive the conclusion that a meaningful measure of freedom must necessarily account for individual valuation of choice …

Model induction from relational data requires aggregation of values ofattributes of related entities. This paper makes … needed to learn these concepts. (2) Expanding onelevel of the hierarchy, it introduces new aggregation operators thatmodel … byclass. (3) It demonstrates empirically on a noisy business domain thatmore-complex aggregation methods can increase …

still remains significant at high levels of aggregation. Because the bias rises with disaggregation, findings of …

generated by aggregation ratherthan derived from stable individual preferences. …

aggregation theory and statistical dimensional methods, we propose plausiblemethodological procedure to consistently address the … deterministic relationsare oftentimes observed among variables in high dimensional data. Aggregation methods areproposed as one … aggregated variables. Aggregation methods also arehelpful to address the issue of how to incorporate a large information set into …