Professor Richard Chandler
Professor of Statistics
|Phone (external)||+44 (0)20 7679 1880|
|Themes||Stochastic Modelling and Time Series; General Theory and Methodology|
Richard is a Professor in the Department of Statistical
Science at University College London, where he has worked since completing
his PhD at UMIST in 1994.
He is a Fellow of the Royal Statistical Society, member of the Bernoulli and International Environmetric
Societies and an honorary member of the Institute of Atmospheric Physics
in Beijing. He leads the RACER (Robust Assessment and Communication of Environmental Risk) consortium, funded by the Natural Environment Research Council under their PURE (Probability, Uncertainty and Risk in the Environment) programme. He currently serves on the committees of the
series on Statistical Climatology and the
project, and is Joint Editor for the
Journal of the
Royal Statistical Society, Series C (Applied Statistics).
Richard has extensive experience of developing and
applying statistical methods for the environmental sciences. Particular
interests include the analysis of time series and space-time data, with
application areas including hydrology and the impacts of climate change.
- Chandler R.E. (2013). Exploiting strength, discounting weakness: combining information from multiple climate simulators. Phil Trans R Soc A 371: 20120388, doi: 10.1098/rsta.2012.0388.
- Maraun, D., F. Wetterhall, A.M. Ireson, R. E. Chandler, E. J. Kendon, M. Widmann, S. Brienen, H.W. Rust, T. Sauter, M. Themeßl, V.K.C. Venema, K.P. Chun, C.M. Goodess, R.G. Jones, C. Onof, M. Vrac, and I. Thiele-Eich (2010). Precipitation downscaling under climate change - recent developments to bridge the gap between dynamical models and the end user. Reviews of Geophysics, 48, RG3003, 34pp. doi: 10.1029/2009RG000314.
- Jesus, J. and R.E. Chandler (2011). Estimating functions and the generalized method of moments. Interface Focus, 1(6), 871-885, DOI: 10.1098/rsfs.2011.0057.
- Chandler, R.E. and E.M. Scott (2011). Statistical Methods for Trend Detection and Analysis in the Environmental Sciences. Wiley, Chichester. Data sets and software available from here.
- Leith, N.A. and Chandler, R.E. (2010). A framework for interpreting climate model outputs. J. R. Statist. Soc. C, 59(2), pp. 279-296.
- Chandler, R.E. and Bate, S. (2007). Inference for clustered data using the independence log-likelihood. Biometrika 94, pp. 167-183. doi:0.1093/biomet/asm015.
- Yang, C., Chandler, R.E., Isham, V. and Wheater, H.S. (2005). Spatial-temporal rainfall simulation using Generalized Linear Models. Water Resources Research 41, doi:10.1029/2004WR003739.
- Chandler, R.E. (2005). On the use of generalized linear models for interpreting climate variability. Environmetrics 16(7), pp. 699-715. doi:10.1002/env.731.
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