(with apologies for cross-posting)
SAMPLE SURVEYS AND BAYESIAN STATISTICS
Workshop and Conference
Southampton Statistical Sciences Research Institute, UK
26-29 August, 2008
Bayesian methods have become increasingly popular across a broad range of
statistical applications, stimulated by the development of efficient
computational methods such as MCMC. Sample survey inference, however, is
still largely based on the randomization distribution over repeated
sampling, with models being used only as a last resort, such as in small
area estimation or when compensating for measurement errors or nonresponse.
The aim of this meeting is to highlight the potential advantages of Bayesian
methodology and discuss and illustrate its possible applications in diverse
areas of sample survey design and inference. The meeting will begin with a
1.5 days workshop, given by Professor Malay Ghosh (University of Florida,
U.S.) and Professor Rod Little (University of Michigan, U.S.). It will be
followed by a 2.5 days conference, consisting of invited and contributed
research and applied papers, and a special panel discussion.
Information on registration to the workshop and conference and submission of
abstracts of contributed papers can be found on the conference website
www.s3ri.soton.ac.uk/ssbs08/
|