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Details of Grant 

EPSRC Reference: GR/R99577/01
Title: Applications of Saddlepoint/Laplace techniques in Ion Channel Models and Shape Analysis
Principal Investigator: Wood, Professor A
Other Investigators:
Ball, Professor FG Dryden, Professor IL
Researcher Co-Investigators:
Project Partners:
Department: Sch of Mathematical Sciences
Organisation: University of Nottingham
Scheme: Standard Research (Pre-FEC)
Starts: 01 July 2002 Ends: 30 September 2002 Value (£): 7,720
EPSRC Research Topic Classifications:
Statistics & Appl. Probability
EPSRC Industrial Sector Classifications:
Communications Healthcare
Pharmaceuticals and Biotechnology No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
In the last 25 years there has been substantial interest and success in the development of saddlepoint/Laplace type approximations in statistics. Notable features of these approximations are (i) in a wide variety of cases, approximations of this type control the theoretical relative error rather effectively; and (ii) in most known cases they produce very accurate approximations in practice. This proposal is concerned with the development of saddlepoint/Laplace approximations in two distinct areas: ion channel models (project A) and shape analysis (project B). In project A the focus will on semi-Markov ion channel models, and both idealised and current-based approaches to time interval omission with be considered. In project B, the Goodall-Mardia model for landmark-based shape data in 3 dimensions will be studied. In both of these areas, challenging computational problems are faced. Saddlepoint/Laplace approximations provide promising approaches in both cases which to date have not been exploited. The aim in both projects is to develop viable methods of computation and inference based on saddlepoint/Laplace approximations.
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Organisation Website: http://www.nottingham.ac.uk