SAMPLE SURVEYS AND BAYESIAN STATISTICS
Workshop and Conference
Southampton Statistical Sciences Research Institute – S3RI
Southampton - 25-29 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/.