International Workshop on Robust Statistics and R (07w5064)
Organizers
Claudio Agostinelli (Universita' Ca' Foscari, Venezia, Italy)
Peter Filzmoser (Vienna University of Technology)
Matias Salibian-Barrera (The University of British Columbia)
Arnold Stromberg (Department of Statistics, University of Kentucky)
Description
Researchers from all over the world will converge to The Banff Centre next week, October 28 - November 2, 2007, to participate in a workshop on Robust Statistics and R. This event, hosted by the Banff International Research Station, is organized by Prof. Matias Salibian-Barrera (University of British Columbia), Prof. Arnold Stromberg (Department of Statistics, University of Kentucky), Prof. Peter Filzmoser (Vienna University of Technology) and Prof. Claudio Agostinelli (Universita' Ca' Foscari, Venezia, Italy).
Robust Statistics studies methods to model and extract reliable information from data, even when these data deviate slightly from the assumed model. The main objective of the workshop is to provide modern tools to disseminate new and exciting developments in Robust Statistics by incorporating them into the powerful and versatile R computer package. The R statistical software (http://www.r-project.org) is freely available under the GNU public license, and has been widely accepted and adopted worldwide by a broad community of students, practitioners and researchers in many disciplines (not only Statistics).
The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is a collaborative Canada-US-Mexico venture that provides an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station is located at The Banff Centre in Alberta and is supported by Canada's Natural Science and Engineering Research Council (NSERC), the US National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT).
Robust Statistics studies methods to model and extract reliable information from data, even when these data deviate slightly from the assumed model. The main objective of the workshop is to provide modern tools to disseminate new and exciting developments in Robust Statistics by incorporating them into the powerful and versatile R computer package. The R statistical software (http://www.r-project.org) is freely available under the GNU public license, and has been widely accepted and adopted worldwide by a broad community of students, practitioners and researchers in many disciplines (not only Statistics).
The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is a collaborative Canada-US-Mexico venture that provides an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station is located at The Banff Centre in Alberta and is supported by Canada's Natural Science and Engineering Research Council (NSERC), the US National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT).
