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Electrosuisse - Association for Electrical Engineering, Power and Information Technologies (SEV)
Electrosuisse is the recognised professional organisation for electrical-, energy- and information technology, offering services for the whole of the electrical sector. Calendar of events, information about standards, education and training.
Latest news
Conferenza di Giulio Sapelli per FINIS URBIS?
Thursday, May 23, 2013
FINIS URBIS? Città europea e globalizzazione Di fronte alla complessità e alla rapidità delle trasformazioni imposte dalla globalizzazione, la città europea, nella sua configurazione d insieme delle attività collettive, resta ancora...
Posizionarsi in maniera ottimale nel mondo del lavoro - La fiducia organizzativa come strumento di intelligenza collettiva e profitto
Thursday, May 23, 2013
giovedì 23 maggio ore 18.30 aula A11 Conferenza di Anna Zanardi-Cappon organizzata dal Servizio alumni in collaborazione con HR Ticino. ABSTRACT Quando andiamo tutti i giorni al lavoro ci concentriamo molto su numeri e risultati, meno su tutto ciò...
Le Conseil fédéral adopte le message relatif à l'accord de coopération avec l'UE en matière de concurrence
Wednesday, May 22, 2013
Le Conseil fédéral a adopté le 22 mai 2013 le message relatif à l'accord entre la Suisse et l'Union européenne (UE) concernant la coopération en matière d'application de leurs droits de la concurrence et l'a transmis aux Chambres fédérales...
Bundesrat verabschiedet Botschaft zum Wettbewerbsabkommen mit der EU
Wednesday, May 22, 2013
Der Bundesrat hat am 22. Mai 2013 die Botschaft zum Abkommen zwischen der Schweiz und der EU über die Zusammenarbeit bei der Anwendung ihres Wettbewerbsrechts verabschiedet und zur Beratung an die eidgenössischen Räte überwiesen. Mit diesem...
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latest publications
22 May Goodness-of-fit for generalized linear latent variables models
Generalized Linear Latent Variables Models (GLLVM) enable the modelling of relationships between manifest and latent variables. These models are widely used in the social sciences. In a latent variable framework, one works with several unobservable quantities (latent scores, parameters) and it is herefore essential to choose a model as close as possible to the data. To test the appropriateness of...
Institution
University of Geneva - Faculty of Economics and Social Sciences
22 May Fast algorithms for computing high breakdown covariance matrices with missing data
Robust estimation of covariance matrices when some of the data at hand are missing is an important problem. It has been studied by Little and Smith (1987) and more recently by Cheng and Victoria-Feser (2002). The latter propose the use of high breakdown estimators and so-called hybrid algorithms (see, e.g., Woodruff and Rocke, 1994). In particular, the minimum volume ellipsoid of Rousseeuw (1984)...
Institution
University of Geneva - Faculty of Economics and Social Sciences
22 May Fast Robust Model Selection in Large Datasets
Large datasets upon which classical statistical analysis cannot be performed because of the curse of dimensionality are more and more common in many research fields. In particular, in the linear regression context, it is often the case that a huge number of potential covariates are available to explain a response variable, and the first step of a reasonable statistical analysis is to reduce the...
Institution
University of Geneva - Faculty of Economics and Social Sciences
