COMPUTING FOR GRAPHICAL MODELS, 16 December 2011, RSS, London

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.

Contact: joe.whittaker <at> lancaster.ac.uk<mailto:joe.whittaker <at> lancaster.ac.uk>

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Dr Neil H. Spencer
Principal Lecturer in Statistics
Director of Statistical Services and Consultancy Unit

Business School, University of Hertfordshire,
de Havilland campus, Hatfield,