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Peter James Green
Born (1950-04-28) 28 April 1950 (age 74)
Alma mater University of Oxford
University of Sheffield
Known for Reversible-jump Markov chain Monte Carlo
Awards Guy Medal (Bronze, 1987; Silver, 1999)
Scientific career
Institutions University of Bath
University of Bristol
University of Durham
University of Wisconsin–Madison
University of Technology, Sydney
Doctoral advisor Douglas P. Kennedy

Peter James Green, FRS (born 28 April 1950) is a British Bayesian statistician. He is emeritus Professor and Professorial Research Fellow at the University of Bristol, and a professor at the University of Technology, Sydney. He is distinguished for his contributions to computational statistics, in particular his contributions to spatial statistics and semi-parametric regression models and also his development of reversible-jump Markov chain Monte Carlo.

Education and career

Green was born in Solihull and attended Solihull School. He studied mathematics at Oxford University before moving to the University of Sheffield for postgraduate study, where he was awarded an MSc in probability and statistics and a PhD in applied probability.

In 2024, Green had publicly questioned the usefulness of specific evidence in relation to the case of Lucy Letby, who was convicted of the murder of a number of babies in her care, namely the staff rotas and blood samples from babies who had collapsed with low blood sugar. However lawyers for the affected families declared during the subsequent hospital inquiry into the neonatal deaths that he and others questioning the conviction "should be ashamed of themselves".

Honors and awards

Green was elected a Fellow of the Royal Society in 2003. He served as president of the Royal Statistical Society from 2001 to 2003, having previously been awarded its Guy Medal in both Bronze (1987) and Silver (1999). He held a Royal Society Wolfson Research Merit Award from 2006 to 2011. He was president of the International Society for Bayesian Analysis for the year 2007.

He was editor of the journal Statistical Science for 2014–2016.

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