statistical data collection and data exchange from around 4'000 decentralized registers. Besides there are more than 2 …'000 administrative services delivered to Swiss citizens and businesses, of which hundreds could potentially use data from population … therefore in this paper we propose a conceptual framework to analyse data governance of these populations registers, with a …

An existence theorem for a bias of the mean in the presence of data dispersion is proved. The ultimate aims are to use … preferences, choices, decisions, (ir)rational behavior at data uncertainty, noises and experimental errors in experiments …

exercise using two examples based on OECD health data. In our illustration we confirm that improved nonlinear AEG and VEC …

this article after modifying the NORN model, a model has been proposed and real data are applied to this new model (we …

Juris-Data is one of the largest case-study base in France. The case studies are indexed by legal classification … elaborated by the Juris-Data Group. Knowledge engineering was used to design an intelligent interface for information retrieval …

their income - the higher the risk aversion, the more stable the cooperatives and the lower the segregation. Learning can … high or low-risk, and while they are learning, they tend to create cooperatives that can last. Eventually we worked on the …

data on leverage, debt-to-GDP and land value-to-GDP ratios for 1996Q1-2008Q4, learning amplifies leverage shocks by a … private agents are gradually learning their uncertain environment. When agents update their beliefs about the parameters that … under adaptive learning are significantly larger than under rational expectations. In our benchmark case calibrated using US …

data when the agent's beliefs about the model are updated through linear learning algorithms. We find that learning in this … learning algorithm is recursive least squares, long memory arises when the coefficient on expectations is sufficiently large … data. Hence long memory arises endogenously, due to the self-referential nature of the model, without any persistence in …