Objective The objective of the conference is to provide a forum for the discussion of new developments and applications of statistical methods and computational techniques for complex and/or high dimensional datasets. The conference will consist of invited lectures, organized, contributory and poster sessions, focussing on inferential and computational methods aimed to model selection, estimation and prediction. Topics Topics of the conference include, but are not limited to, the following areas: • Dynamic models: computational methods and applications • Computational methods and Bayesian statistics • Neural network and genetic algorithms • Graphical models, probabilistic networks and expert systems • Methods for multidimensional analysis of complex data • Time series and spatial modelling • Statistical methods for technology • Models and computational methods in economics and finance • Models and computational methods in environmental statistics • Likelihood inference in complex models
S.Co.2007 Complex Models and Computational Methods for Estimation and Prediction Venice, September, 6-8 ,2007 / P. Mantovan; S. Bordignon; D. Cocchi; A. Pastore; C. Provasi; N. Torelli; M. Vichi; R. Vedal. - (2007).
S.Co.2007 Complex Models and Computational Methods for Estimation and Prediction Venice, September, 6-8 ,2007
COCCHI, DANIELA;
2007
Abstract
Objective The objective of the conference is to provide a forum for the discussion of new developments and applications of statistical methods and computational techniques for complex and/or high dimensional datasets. The conference will consist of invited lectures, organized, contributory and poster sessions, focussing on inferential and computational methods aimed to model selection, estimation and prediction. Topics Topics of the conference include, but are not limited to, the following areas: • Dynamic models: computational methods and applications • Computational methods and Bayesian statistics • Neural network and genetic algorithms • Graphical models, probabilistic networks and expert systems • Methods for multidimensional analysis of complex data • Time series and spatial modelling • Statistical methods for technology • Models and computational methods in economics and finance • Models and computational methods in environmental statistics • Likelihood inference in complex modelsI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
