Dr Carl Donovan:
Lecturer in Statistics
Dr Carl Donovan
University of St Andrews
tel: (44) (0) 1334 461802
fax: (44) (0) 1334 461800
Centre for Research into Ecological & Environmental Modelling
School of Mathematics & Statistics
National Centre for Statistical Ecology
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My tertiary education was at the University of Auckland, New Zealand (BSc, MSc, PhD) before taking up a post at the University of St Andrews in 2003.
My PhD research was under Assoc. Prof. Brian McArdle and concluded in 2006. This was primarily about the inclusion of spline based models in multivariate analysis, but necessarily included computer intensive simulation work and methods usually under the banner of data mining. The methods were directed towards ecological data, but are widely applicable.
I am currently a course co-ordinator for our new MSc programme in Applied Statistics and Data Mining. This course is intended for students with a varied undergraduate background in statistics but are seeking to work in commercial data analysis. I have directorship on two private consulting companies and am very interested in linking University skills to commercial applications. It is my experience that the most interesting research avenues spring from commercial problems.
My research interests focus on method development for applied problems - these are varied:
- Simulation-based impact assessment for complex scenarios e.g. the impacts of low frequency sonars.
- Smoothing methods for complex areas e.g. 2D smoothing of fauna densities around coastlines using heuristic algorithms.
- Splines in almost anything: mixed models (e.g. forestry growth models), functional analysis (e.g. measuring similarity of complex surfaces), multivariate analyses (e.g. nonlinear redundancy analyses), marketing applications (e.g. Brand Equity and Customer Value modelling).
Recent Publications:5 (of 21 /dk/atira/pure/researchoutput/status/published available) for crd2 (source: University of St Andrews PURE)
Please click title of any item for full details
Environmental Biology of Fishes 2021 pp. 615–628
Ecology and Evolution 2017 vol. 7 pp. 2101-2111
2016 pp. 231-237
Proceedings of Meetings on Acoustics 2016 vol. 27
Computer Vision and Image Understanding 2016 vol. 146 pp. 40-50