Non-Gaussian Multivariate Statistical Models and their Applications (13w5146)
Organizers
Narayanaswamy Balakrishnan (McMaster University)
Chris Field (Dalhousie University)
Marc Genton (King Abdullah University of Science and Technology)
Harry Joe (University of British Columbia)
Description
The Banff International Research Station will host the "Non-Gaussian Multivariate Statistical Models and their Applications" workshop from May 19th to May 24th, 2013.
This workshop intends to study extensions of classical Gaussian-based
multivariate statistical models to non-Gaussian ones that are more
realistic to solve important problems arising from many applications,
including areas such as economics, finance, management science, oceanography,
climatology, environmetrics, forestry, engineering, renewable energies,
image processing, astronomy, clinical trials, and biomedical science.
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 U.S. National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT).
