## Professor Richard Chandler

Position |
Professor of Statistics, Head of Department |

Phone (external) | +44 (0)20 7679 1880+44 (0)20 7679 1880 |

Phone (internal) | 41880 |

Email(*) | r.chandler |

Personal webpage | http://www.homepages.ucl.ac.uk/~ucakarc/ |

Themes | Stochastic Modelling and Time Series; General Theory and Methodology |

* @ucl.ac.uk

### Biographical Details

Richard is a Professor and the current Head of Department 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. From 2011 to 2014 he was Joint Editor for the
Journal of the
Royal Statistical Society, Series C (Applied Statistics).
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
International Meeting
series on Statistical Climatology and the
surfacetemperatures.org
project.

### Research Interests

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.

### Selected publications

- 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.