The Corcoran Memorial lectures are named in memory of Stephen Corcoran who was a graduate student in the Department of Statistics until his death in 1996. Stephen was a student of Wadham College, Oxford and graduated First Class Honours in Mathematics in 1991. He subsequently gained a Diploma in Mathematical Statistics from Cambridge University before returning to Oxford to study for a DPhil in Statistics.
Stephen's research was in the field of empirical likelihood. He made substantial progress in this work but sadly his thesis remained unfinished at the time of his death from cancer. Part of Stephen's uncompleted thesis was edited by Professor A. C. Davison and published in Biometrika (1998, pages 967-972).
A family bequest has established an annual lecture in honour of Stephen in which distinguished guest lecturers are invited to deliver a lecture on important aspects of their work. In addition, the Corcoran Memorial Prize is awarded every two years to students of the Department of Statistics for outstanding graduate work. The prizewinners are also invited to give a lecture.
Corcoran Memorial Prize Awards
- 1998 - Mark Mathieson
- 2000 - Dr Matthew Stephens
- 2002 - Dr Yih-Choung Teh
- 2004 - Dr Anja Sturm
- 2006 - Dr Simon Myers
- 2008 - Dr Ludger Evers & Dr Chris Spender (joint winners)
- 2010 - Dr Chris Yau
- 2012 - Dr Robin Ryder
- 2014 - Dr Therese Graversen
- 2016 - Dr Fiona Skerman
- 2018 - Dr Sarah Penington
- 2020 - Dr Chris J. Maddison
- 2022 - Dr Adam Foster
Past Corcoran Memorial Lectures
1997
Professor Don Rubin, Harvard University
`Techniques for Drawing Causal Inferences from Imperfect Studies'
1998
Professor Adrian Smith, Imperial College, London
`Bayesian curves, CARTS and MARS'
1999
Professor Peter McCullagh, University of Chicago
`Re-sampling and exchangeable arrays' `Linear models and representation theory'
2000
Professor Bernard Silverman, University of Bristol
`Using wavelet methods to fit models for time-frequency dependence'
2001
Professor Peter Hall, Australian National University
`Nonparametric inference under constraints'
2002
Professor Anthony Davison, Swiss Federal Institute of Technology, Lausanne
`Galaxies, ticks and stock market crashes: hard times for the Poisson process'
2003
Professor Terry Speed, The Walter & Eliza Hall Institute of Medical Research, Melbourne & Department of Statistics, University of California, Berkeley
'Measuring Gene Expression: Why Biologists Do, and Why Statisticians should show an interest'
2007
Professor David Spiegelhalter FRS, MRC Biostatistics Unit, University of Cambridge
'Bayesian evidence synthesis 1': Meta-analysis allowing for the rigour and relevance of studies' and 'Bayesian evidence synthesis 2': Evaluating the introduction of a high-risk operation for congenital heart disease'
2013
Professor Nils Lid Hjort (Department of Mathematics, University of Oslo)
‘Distributions of Confidence’
2015
Professor Arthur Gretton, Gatsby Computational Neuroscience Unit, University College London
‘Kernel Embeddings of Probabilities: Applications in Hypothesis Testing and Inference’
2017
Professor Steffen Lauritzen, Department of Mathematical Sciences, University of Copenhagen
‘Maximum likelihood estimation in Gaussian models under total positivity’
2019
Professor Frank den Hollander, University of Leiden, Netherlands
‘Synchronisation with noise’
2020
Professor Kerrie Mengersen, Queensland University (21st January 2021 – Online)
‘(Not) Aggregating Data’
2021
David Silver, DeepMind and UCL (3rd December 2021)
‘The Pursuit of Reward: from Zero to Superhuman’
2022
Dr Ruth Keogh, London School of Hygiene & Tropical Medicine (1st December 2022)
‘From population to person: Counterfactual risk prediction’
2024
Professor Michael Gutmann, Edinburgh (29th January 2024)
'Self-supervised learning for Bayesian experimental design'