Call for participation to the following workshop:
Structure and uncertainty: modelling, inference and computation in complex stochastic systems
Research workshop: 24-27 September 2012, Bristol, UK
Aims and objectives:
Over the last two decades, a powerful strategy for statistical modelling has evolved, which uses ideas of conditional independence to combine simple local relations to build stochastic models that exhibit great complexity. Such complex stochastic models have found applications in areas as diverse as signal processing, genetics and epidemiology. The needs of these areas have in turn stimulated important theoretical developments. By emphasising common ideas and structures, such as graphical, hierarchical and spatial models, and techniques, such as Markov chain Monte Carlo methods and local exact computation, cross-disciplinary work in stochastic systems has been promoted.
The themes of this workshop, marking the end of the first phase of EPSRC funding for SuSTaIn, will include:
• Graphical models
• Monte Carlo computation
• Spatial statistics
• Applications in modern biology and genetics
• Relevant statistical theory
If you would like to present your work, or simply attend the workshop, please go to the workshop webpage to register
http://www.sustain.bris.ac.uk/ws-structure/
We may be able to provide limited funding.
Invited speakers
Arnaud Doucet (Oxford)
Arnoldo Frigessi (Oslo)
Leonhard Held (Zurich)
Nils Lid Hjort (Oslo)
Chris Holmes (Oxford)
Steffen Lauritzen (Oxford)
Eric Moulines (Telecom-ParisTech)
Sonia Petrone (Bocconi, Milano)
Thomas Richardson (Washington, Seattle)
Christian Robert (Paris-Dauphine)
Gareth Roberts (Warwick)
Alberto Roverato (Bologna)
The workshop is organised by the Statistics group in Bristol and you may use math-structure-uncertainty 'AT' bristol.ac.uk to contact the organisers.
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