Understanding the New Statistics: Expanding Core Statistical Theory (08w5071)
Organizers
Rudolf Beran (University of California, Davis)
Iain Johnstone (Stanford University)
Ivan Mizera (University of Alberta)
Sara van de Geer (Eidgenössische Technische Hochschule Zürich)
Description
As the title indicates, our focus in the Banff workshop "Understanding the New Statistics: Expanding Core Statistical Theory" is core statistical theory. In the past, we might have called the topic "mathematical statistics", were not this name so closely associated with the 1960's vision of statistics before the computer revolution changed our discipline. We put emphasis on "the new statistics" to indicate that we not interested in variations on old themes, but rather in relevant theory for the data-analytic circumstances of the present, outlined above. The call for this type of theory - rethinking the old and seeking new approaches - was recently expressed at several places, for instance at the influential "Report on the Future of Statistics" (Bruce Lindsay, Jon Kettenring, and David Siegmund) published in 2004 and summarizing an earlier 2002 report to the U.S. National Science Foundation. We concentrate on several topics that we believe are particularly important in this contexte and see the workshop as an opportunity to make first steps on a likely long way.
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).