Dr Nadarajah Ramesh
AC3 (Senior Lecturer)
Mathematical Sciences Department
Telephone: +44 (0)20 8331 8734
Fax: +44 (0)20 8331 8665
Fellow of Royal Statistical Society.
MSOR Network Key Departmental Contact.
Likelihood inference for Point Process Models, Bootstrap Methods, Extreme Values, Hidden Markov Models, Network traffic modelling, Queuing theory and Markov Processes, Rainfall modelling, Forest biometric modelling. Maths Education
Programme Leader 2012/13
BSc (Hons) Mathematics and Economics
BSc (Hons) Financial Mathematics
BSc (Hons) Mathematics and Computing
BSc (Hons) Mathematics with Economics
BSc (Hons) Mathematics with German
BSc (Hons) Statistics with Business
BSc (Hons) Statistics
BSc (Hons) Mathematics with French
BSc (Hons) Mathematics with Business
BSc (Hons) Mathematics
BSc (Hons) Statistics (with ...)
BSc (Hons) Mathematics with Computing
BSc (Hons) Mathematics, Statistics and Computing
BSc (Hons) Mathematics with ...
BSc (Hons) Statistics with Computing
Course Coordinator 2012/13
Probability and Statistics
Ramesh, N. I., Thayakaran, R. & Onof, C. (2013). Multi-site doubly stochastic Poisson process models for fine-scale rainfall. Stochastic Environmental Research and Risk Assessment,
R Thayakaran and N I Ramesh (2013). Multivariate models for rainfall based on Markov Modulated Poisson Processes. Hydrology Research.
Ramesh N. I, Onof C, Xie, D (2012). Doubly stochastic Poisson process models for precipitation at fine time-scales. Advances in Water Resources. 45:58–64.
Ramesh, N. I. (2005). Semi-parametric analysis of extreme forest fires. Forest Biometry Modelling and Information Science, Vol. 1, pp.1-10
Ramesh, N.I. and Davison, A.C. (2002). Local models for exploratory analysis of hydrological extremes. Journal of Hydrology, 256, pp. 106-119.
Onof, C., Yameundjeu, B., Paoli, J.P and Ramesh, N. I. (2002). A Markov modulated Poisson process model for rainfall increments. Water Science and Technology, Vol 45, pp. 91-97.
Davison, A. C. and Ramesh, N. I. (2000). Local Likelihood smoothing of sample extremes. J. R. Statist. Soc. Series B, 62, pp. 191-208.
Ramesh, N. I. (1998). Temporal modelling of short-term rainfall using Cox processes. Environmetrics, 9, 629-643.
Davison, A. C. and Ramesh, N. I. (1996). Some models for discretized series of events. Journal of American Statistical Association, Vol. 91, Theory and Methods, 601-609.
Ramesh, N.I. (1995). Statistical analysis on Markov-modulated Poisson processes. Environmetrics, Vol 6, 165-179.
Recent conference presentations
Ramesh, N I and Thayakaran, R (2012). Stochastic point process models for fine-scale rainfall time series. International Conference on Stochastic Modelling Techniques and Data Analysis, 4-8 June 2012, Chania, Greece.
Ramesh, N I (2011). Hidden Markov Models incorporating additional dependence in regional rainfall modelling. AMSTAT Joint Statistical Meeting 2011, Miami, Florida, USA July/August 2011.
Ramesh, N I, Onof, C. and D Xie, D (2010). Precipitation modelling using doubly stochastic point process models at fine time-scale. International Precipitation Conference, Coimbra, Portugal. June 2010.
School of Computing and Mathematical Sciences
University of Greenwich
Old Royal Naval College
London SE10 9LS