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B.A. Hons (Oxon.), M.A. (Oxon.), M.Sc. (George Washington), Ph.D. (George Washington), Fellow of Trinity College Dublin.
My research interests have
centered around issues of applying Bayesian methods of statistical inference in a wide variety of applications, including image processing, reliability
and environmental problems.
I am currently involved in three collaborative research networks. These are: the EU Network of Excellence MUSCLE
on multimedia data processing, for which I coordinate the workpackage
on Machine Learning and Computation, TED, a European Science Foundation programme on decision
theory methods for electronic democracy, and CTVR, a programme of research in telecommunications, where I head the strand on reliability prediction modelling that works closely with Bell Labs Ireland.
Most of my current research is in Bayesian applications to data analysis in a wide variety of fields. In addition to the published papers listed further below, here are some recent technical reports of what I have been working on in the past year or so, for download as pdf. Other recent papers and those of my colleagues may be found on the department's technical report page.
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"Propagating Uncertainty Through Availability
Models".
This is joint work with postdoctoral researchers Ben Flood (at TCD) and Sergiy Vilkomir (at University of Limerick).
Available as pdf here.
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"Inferring truck properties from force sensor data assuming spatial repeatability ".
This is joint work with Prof. Eugene O'Brien and Niall Harris at University College Dublin. The idea is to infer the properties (like mass and suspension stiffness) given data from a sequence of pressure sensors on a road surface. These truck properties
can then be used to measure things like the number of overloaded trucks.
Available as pdf here.
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"A Bayesian method for automatic
landmark detection in segmented images".
This is a joint work with Katarina Domijan,
a graduate student in the Department.
Available as pdf here.
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"Decision-theoretic approaches to display strategies
in content based image retrieval".
This is some recent
work in the Network of Excellence MUSCLE.
The idea is to use Bayesian inference and decision theory to
develop a system for "intelligent" searching of image
databases by query.
Available as pdf here. |
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College
Tutor |
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Faculty Representative on the University Council |
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Member of the Library Users Committee |
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Member of the Faculty Examinations Appeal Committee |
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Coordinator of "Computational
Methods" workpackage and steering committee member of EU funded
Network of Excellence MUSCLE. |
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Member of organising
committee for the ESF programme "Towards
Electronic Democracy" |
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Member of CTVR |
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Fellow, Royal Statistical
Society |
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S.P. Wilson and F.J. Samaniego (2007),
"Nonparametric analysis of order statistics models in software reliability".
To appear, IEEE Transactions on Software Engineering, vol. 33, no.3. Full paper download will be available for IEEE Xplore subscribers here. |
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J. Haslett, M. Whiley,
S. Bhattacharya, M. Salter-Townshend, S.P. Wilson, J.R.M. Allen, B. Huntley and
F.J.G. Mitchell (2006), "Bayesian palaeoclimate reconstruction (with discussion)".
Journal of the Royal Statistical Society, Series A, vol. 169, no. 3, pp. 395-438. Also a read paper before the Royal Statistical Society, 23rd November 2005. Journal webpage
available for JSTOR subscribers here. |
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S.P. Wilson and M. Wiper (2006), "A Bayesian analysis
of beta testing".
Test, vol. 15, no. 1, pp. 227-255.. |
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S.P. Wilson and M. Costello (2005), "Predicting future discoveries of European marine species using a
non-homogeneous renewal process".
Journal of the Royal Statistical Society, Series C, vol. 54, no. 5, pp. 897-918. Journal webpage
available for JSTOR subscribers here. |
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S.P. Wilson (2005), "Hierarchical modelling of orthopaedic
hip replacement damage accumulation and reliability".
Journal of the Royal Statistical Society, Series C,
vol. 54, no. 2, pp. 425-442. Journal webpage
available for JSTOR subscribers here. |
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M. Whiley and S.P.
Wilson (2004), "Parallel algorithms for Markov chain Monte Carlo methods in latent spatial Gaussian
models".
Statistics
and Computing, vol. 14, pp. 171-179. Issue webpage here.
Full paper download available here. |
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D.E. Melas and S.P.Wilson
(2002), "Double Markov random
fields and Bayesian image segmentation",
IEEE
Transactions in Signal Processing, vol. 50, no. 2, pp. 357-365. Issue webpage here.
Full paper download available for IEEE Xplore subscribers here.
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N.D. Singpurwalla and
S.P. Wilson (1999) "Statistical
Methods in Software Engineering: Reliability and Risk"
New York: Springer. |
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