At its meeting in December, Society Council considered recommendations from the Honours Committee for the award of medals and prizes in 2011.
The following awards will be made at the Society’s awards ceremony on 29 June in London:
The Guy Medal in Gold is awarded to Calyampudi Radhakrishna Rao for his fundamental contributions to statistical theory and methodology, including unbiased estimation, variance reduction by sufficiency, efficiency of estimators, information geometry, as well as a the application of matrix theory in linear statistical inference.
The Guy Medal in Silver is awarded to Peter G. Hall, for his papers Empirical Functionals and Efficient Smoothing Parameter Selection (JRSS B, 54 (1992), 475-530, with Iain Johnstone), read to Society in 1991, and Fractal Analysis of Surface Roughness by using Spatial Data (JRSS B, 61 (1999), 3-37, with S. Davies) read to the Society in 1998, and taking account of his many important contributions to the theory and practice of Statistics, in areas including nonparametric density estimation, regression and classification, extreme value theory, deconvolution and measurement error problems, nonparametric inference for mixture distributions, functional data analysis, empirical likelihood and the bootstrap.
The Guy Medal in Bronze is awarded to Nicolai Meinshausen for his innovative work on theoretical, methodological and computational aspects of high-dimensional data analysis, including his paper read before the Society `Stability Selection’ (JRSS B, 72 (2010), 417-473, with P. Buehlmann), and for his important work as an applied researcher, for example in the study of climate change.
The Research Prize is awarded to Daniel Farewell for his original contributions to longitudinal and event history methodology and their interrelationship. His PhD research led to a paper read before the Society in 2007 on the analysis of longitudinal data when subjects drop out before study completion. His later research used ideas from event history analysis to develop novel approaches to longitudinal data analysis, especially when there are missing values.