Prior to taking up a Chair in Statistics at Imperial in 2005, Alastair Young was Reader in Methodological Statistics at the Statistical Laboratory, University of Cambridge. He has particular research interest in contemporary, computer-intensive, approaches to frequentist statistics, with particular focus on bootstrap and related approaches to parametric and non-parametric inference. He also is very active in the development of approximation methods, such as saddlepoint procedures, in statistics, and in development of inference procedures for spatial data. Alastair is a Fellow of the Institute of Mathematical Statistics, and former Joint Editor of the Journal of the Royal Statistical Society, Series B.
DiCiccio TJ, Kuffner TA, Young GA, 2012, Objective Bayes, conditional inference and the signed root likelihood ratio statistic, Biometrika, Vol:99, Pages:675-686
Lu K, Young GA, 2012, Parametric bootstrap under model mis-specification, Computational Statistics and Data Analysis, Vol:56, Pages:2410-2420
Diciccio TJ, Young GA, 2010, Objective Bayes and conditional inference in exponential families, Biometrika, Vol:97, ISSN:0006-3444, Pages:497-504
DiCiccio TJ, Young GA, 2008, Conditional properties of unconditional parametric bootstrap procedures for inference in exponential families, Biometrika, Vol:95, ISSN:0006-3444, Pages:747-758