Post by ncwebcenter on Aug 17, 2009 21:01:31 GMT -5
"Paradigms of Model Choice"
October 5-6-7, 2009
Summary
This is the third workshop in the series of YES (Young European Statisticians) workshops. The first was held in October 2007 on Shape Restricted Inference with seminars given by Lutz Dümbgen (Bern) and Jon Wellner (Seattle) together with shorter talks by Laurie Davies (Duisburg-Essen) and Geurt Jongbloed (Delft). The second workshop was held in October 2008 on High Dimensional Statistics with seminars given by Sara van de Geer (Zürich), Nicolai Meinshausen (Oxford) and Gilles Blanchard (Berlin).
The present workshop is directed at young statisticians (mainly Ph.D. students and postdocs) who are interested in the problem of model choice.
Short seminars each consisting of three 45 minute talks on various aspects of model choice will be given by
Professor Laurie Davies, Duisburg-Essen, Professor Peter Grünwald, Amsterdam, Professor Nils Hjort, Oslo and Professor Christian Robert - Paris. The participants will also have the opportunity to give short talks of 25 minutes and 5 minutes discussion on their own research.
Model choice has for many years been a point of disagreement and research in statistics. The applications range from the choice between several low dimensional models all of which are reasonable models for the data, the choice of variables to be included in a linear regression, and the choice of smoothing parameter in nonparametric regression, inverse and other ill-posed problems. Over the years several techniques have been developed such as AIC, BIC, MDL (Minimum Description Length) , cross-validation, Lasso (more generally L_1-penalization) and FIC (focused information criterion). Many of these techniques have proved successful for certain types of problem but there is still a need for a discussion of the principles (if any) involved as well as the advantages and disadvantages of these approaches. It is the aim of the workshop to inform the participants of the state-of-the-art in each of these several paradigms and to encourage discussion between the different schools. It is also intended that each of the paradigms of model choice provide examples of their use in real problems to demonstrate their applicability to the analysis of data.
Each of the speakers will concentrate on the problem of model choice from their own perspective.
www.eurandom.tue.nl/events/workshops/2009/YESIII/index.htm
October 5-6-7, 2009
Summary
This is the third workshop in the series of YES (Young European Statisticians) workshops. The first was held in October 2007 on Shape Restricted Inference with seminars given by Lutz Dümbgen (Bern) and Jon Wellner (Seattle) together with shorter talks by Laurie Davies (Duisburg-Essen) and Geurt Jongbloed (Delft). The second workshop was held in October 2008 on High Dimensional Statistics with seminars given by Sara van de Geer (Zürich), Nicolai Meinshausen (Oxford) and Gilles Blanchard (Berlin).
The present workshop is directed at young statisticians (mainly Ph.D. students and postdocs) who are interested in the problem of model choice.
Short seminars each consisting of three 45 minute talks on various aspects of model choice will be given by
Professor Laurie Davies, Duisburg-Essen, Professor Peter Grünwald, Amsterdam, Professor Nils Hjort, Oslo and Professor Christian Robert - Paris. The participants will also have the opportunity to give short talks of 25 minutes and 5 minutes discussion on their own research.
Model choice has for many years been a point of disagreement and research in statistics. The applications range from the choice between several low dimensional models all of which are reasonable models for the data, the choice of variables to be included in a linear regression, and the choice of smoothing parameter in nonparametric regression, inverse and other ill-posed problems. Over the years several techniques have been developed such as AIC, BIC, MDL (Minimum Description Length) , cross-validation, Lasso (more generally L_1-penalization) and FIC (focused information criterion). Many of these techniques have proved successful for certain types of problem but there is still a need for a discussion of the principles (if any) involved as well as the advantages and disadvantages of these approaches. It is the aim of the workshop to inform the participants of the state-of-the-art in each of these several paradigms and to encourage discussion between the different schools. It is also intended that each of the paradigms of model choice provide examples of their use in real problems to demonstrate their applicability to the analysis of data.
Each of the speakers will concentrate on the problem of model choice from their own perspective.
www.eurandom.tue.nl/events/workshops/2009/YESIII/index.htm
