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In Bayesian statistics, two influential papers in the latter part of the 20th Century—reprinted in Volume III of Breakthroughs in Statistics, Springer-Verlag—were co-authored by Adrian Smith. These papers contain two central ideas in the theory and practice of modern Bayesian statistics, namely Hierarchical Models (Lindley and Smith, Journal of the Royal Statistical Society, Series B, 1972) and Markov chain Monte Carlo (Gelfand and Smith, Journal of the American Statistical Society, 1990). This conference will showcase many key advances that continue to be made, using these ideas, by many established and younger researchers.

Research involving hierarchical models and MCMC continues to grow at an astonishing rate, spanning a broad spectrum of topics in medicine, engineering, scientific computation, business, psychology, bio-informatics, computational physics, graphical models, neural networks, geosciences, and public policy. This explosion of Bayesian ideas is, in part, the result of papers authored or co-authored by Adrian Smith.

The links provide details of Adrian’s contributions:

· Publications

· PhD Students and Dissertations

We are delighted to host this event in honour of a statistician whose contributions have left an indelible mark on the landscape of statistical research and practice, past, present, and future.

 

Organizing Committee:
Paul Damien (USA)
Petros Dellaportas (Greece)
Jon Forster (England)
Nick Polson (USA)
Gareth Roberts (England)
David Stephens (Canada)
Jon Wakefield (USA)

Location of the conference: Knossos Royal Village, Heraklion, Crete

Please mark your calendars. This will be a memorable event.

Hierarchical Models and Markov Chain Monte Carlo

Conference in Honour of Adrian F.M. Smith

2 - 5 June 2011, Crete, Greece