Composite Likelihood Methods (12w5046)

The Banff International Research Station will host the "Composite Likelihood Methods" workshop from April 22nd to April 27th, 2012.

Modern computing power allow statisticians to handle high-dimensional data that arise in areas such as multivariate longitudinal data analysis, spatial statistics, psychometrics, computer experiments, biostatistics and statistical genetics. There are various approaches for obtaining statistical models that match key features for data fitting and inference. Composite likelihood is a method that replaces high-dimensional interdependencies, which can be difficult to compute, by pooling low-dimensional likelihood components that can be readily computable. Some of the theoretical studies show that, often, there is little loss of information in this approach.

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).