Details of Grant 

EPSRC Reference:	GR/S28648/01
Title:	Efficient Implementation of Trans-Dimentional Markov Chains and their Application to Ecology
Principal Investigator:	King, Professor R
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department:	Mathematics and Statistics
Organisation:	University of St Andrews
Scheme:	Postdoc Res Fellowship PreFEC
Starts:	01 October 2003	Ends:	30 September 2005	Value (£):	66,550
EPSRC Research Topic Classifications:	Population Ecology Statistics & Appl. Probability
EPSRC Industrial Sector Classifications:	No relevance to Underpinning Sectors
Related Grants:
Panel History:	Panel Date Panel Name Outcome 28 Jan 2003 PDF Maths Sift (Science) Jan 03 Deferred
Summary on Grant Application Form
The proposed research considers trans-dimensional Markov chains that may be used within Bayesian and classical statistical frameworks, to discriminate between many different competing models. Motivation for the research comes from the field of ecology, where models represent competing biological hypotheses, each telling us something different about the underlying dynamics of the system. Thus, discriminating between (perhaps enormous numbers of) competing models may provides insight into the population under study. With large numbers of possible models, it becomes increasingly important to implement the trans-dimensional algorithms efficiently. Particular ecological applications will be considered motivating methodological advances which will have far reaching effects on a wide range of statistical areas.
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Organisation Website:	http://www.st-and.ac.uk