Recent Advances in Biostatistics, Bioinformatics
and Markov Chain Monte Carlo
The University of New South Wales, Sydney, Australia
7 - 8 July 2005
Biostatistics and Markov chain Monte Carlo are two of the most vibrant
current areas of statistical research. The analysis of experimental data
under alternative biological hypotheses in highly complex modeling
situations is becoming increasingly commonplace. Models based on genetic
and biological applications have traditionally provided a challenge for
stochastic simulation techniques due to their complex local dependency
structures, and the unique modelling circumstances generated by the
experimental design.
This symposium will focus on statistical issues in both Biostatistical and
MCMC fields. Cross-disciplinary research will also be presented.
The Symposium is scheduled immediately before the IWSM2005 Conference,
also in Sydney on 10-15 July 2005.
Invited Speakers
* David Balding (Imperial College, London)
* Chris Carter (CSIRO)
* Liang Faming (National University of Singapore)
* Peter Green (Bristol University)
* Robert Kohn (University of New South Wales)
* Kerrie Mengersen (Queensland University of Technology)
* Michael Newton (University of Wisconsin-Madison)
* Geoff Nicholls (University of Auckland)
* David Nott (University of New South Wales)
* Sylvia Richardson (Imperial College, London)
* Simon Tavaré (University of Southern California)
Organisers
Yanan Fan, David Nott, Scott Sisson (School of Mathematics, UNSW)
Robert Kohn (School of Economics, UNSW)
Gordon Smyth (Walter & Eliza Hall Institute of Medical Research).
Contact Email: biomcmc(at)maths.unsw.edu.au
The organisers gratefully acknowledge:
Financial support from AMSI.
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Scott Sisson
Department of Statistics Phone: +61 2 9385 7027, Ext: 57027
School of Mathematics Fax: +61 2 9385 7123
University of New South Wales Web: www.maths.unsw.edu.au/~scott
Sydney 2052, Australia
UNSW CRICOS Code: 00098G
