Richard Everitt organises an afternoon workshop on Bayesian computation in Reading, UK, on April 19, the day before the Estimating Constant workshop in Warwick, following a successful afternoon last year. Here is the programme:
1230-1315 Antonietta Mira, Università della Svizzera italiana
1315-1345 Ingmar Schuster, Université Paris-Dauphine
1345-1415 Francois-Xavier Briol, University of Warwick
1415-1445 Jack Baker, University of Lancaster
1445-1515 Alexander Mihailov, University of Reading
1515-1545 Coffee break
1545-1630 Arnaud Doucet, University of Oxford
1630-1700 Philip Maybank, University of Reading
1700-1730 Elske van der Vaart, University of Reading
1730-1800 Reham Badawy, Aston University
1815-late Pub and food (SCR, UoR campus)
and the general abstract:
The Bayesian approach to statistical inference has seen major successes in the past twenty years, finding application in many areas of science, engineering, finance and elsewhere. The main drivers of these successes were developments in Monte Carlo methods and the wide availability of desktop computers. More recently, the use of standard Monte Carlo methods has become infeasible due the size and complexity of data now available. This has been countered by the development of next-generation Monte Carlo techniques, which are the topic of this meeting.
The meeting takes place in the Nike Lecture Theatre, Agriculture Building [building number 59].
Chris Drovandi sent me the information that the Statistics Group, QUT, Brisbane, is advertising for three positions:
The latest [June] issue of 
