Computing for Graphical Models
16 December 2011
Royal Statistical Society, London
One day meeting of the Statistical Computing Section
Details and registration at
http://tinyurl.com/RSS16December
Graphical models has expanded substantially over the past decade with the
analysis of large data sets, in particular from bioinformatics and retail,
with developments of inference in relation to causality, and with
applications involving complex data structures. The ubiquitous nature of
conditional independence has meant these models are applied in many
different subjects. Computing for graphical models has always been
difficult but recently user friendly open source software has become
available.
This meeting provides a platform to review the current provision and to
elucidate remaining challenges in making graphical modelling more
accessible to the wider scientific community.
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