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The Ethel Newbold Prize for excellence in statistics is awarded every 2 years. The name of the prize recognizes a historically important role of women in statistics. The prize itself is for excellence in statistics without reference to the gender of the recipient. The Ethel Newbold Prize is generously supported by Wiley.
Description
The Ethel Newbold Prize is to be awarded biennially to an outstanding statistical scientist in early or mid-career for a body of work that represents excellence in research in mathematical statistics, and/or excellence in research that links developments in a substantive field to new advances in statistics.
In any year in which the award is due, the prize will not be awarded unless the set of all nominations includes candidates from both genders.
The award consists of the prize amount of 2500€ together with an award certificate.
The awardee will be invited to present a talk at a following Bernoulli World Congress, Bernoulli-sponsored major conference, or ISI World Statistics Congress.
Call for Nominations
The Bernoulli Society’s Newbold Prize Committee invites nominations for the 2025 Ethel Newbold Prize. Each nomination should include a letter outlining the case in support of the nominee, along with a curriculum vitae. In order to nominate someone, please send your nomination and any inquiries to Adrian Röllin at This email address is being protected from spambots. You need JavaScript enabled to view it.. The deadline for accepting nominations is 30 November 2024. The prize winner will be selected in early 2025.
The Prize Committee
The awarding of the prize is determined by the Newbold Prize Committee, a three-person committee of members of the Bernoulli Society. The Newbold Prize Committee members are appointed by the President for a term of six years, with one member rotating off the committee each two years. The first Newbold Prize Committee members will have terms of six, four and two years, respectively. No member shall serve for more than eight years. The Chair of the Prize Committee is appointed by the President.
About Ethel Newbold
Ethel May Newbold (1882 – 1933) was an English statistician and the first woman to be awarded the Guy Medal in Silver by the Royal Statistical Society, in 1928. During her short academic career (1921 – 1930) she published 17 papers in statistics and subject matter journals.
After obtaining her undergraduate degree from Cambridge University, she taught school for two years, and then worked for the Ministry of Munitions from 1919 – 1929, which is where her interest in statistics developed. She obtained her MSc and PhD from the University of London in 1926 and 1929, respectively.
Most of her published work was undertaken when she was a member of the National Institute of Medical Research, as the member of a committee appointed by the Medical Research Council to co-ordinate and supervise medical and industrial statistical inquiries. The Guy Medal was awarded for her paper “Practical applications of statistics of repeated events, particularly to industrial accidents” (Newbold, 1927), which was the first to give a theoretical treatment of compound Poisson distributions, for the analysis of accident data in industry.
This information is abstracted from her obituary (Greenwood, 1933).
Greenwood, M. (1933). Journal of the Royal Statistical Society, 96, No. 2, 354 – 357.http://www.jstor.org/stable/2341811
Newbold, E. M. (1927). Journal of the Royal Statistical Society, 90, No 3, 487 – 547.http://www.jstor.org/stable/2341203
The Newbold Prize Committee
Adrien Roellin (until 12/2025) - chair
Susan Murphy (until 12/2027)
Axel Munk (until 12/2029)
Past Prize Recipients
The Bernoulli Society Bulletin e-Briefs is an electronic bulletin of the Bernoulli Society intended as a device to share in brief manner latest news and relevant information with all members of our society.
Contributions can be sent directly to the editor. The deadlines are January 30, March 30, May 30, August 30 and October 30.
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This page is defunct. Prevoius recipients are listed here.
- 2003: Ben Hambly, James Martin and Neil O'Connell for the paper
Concentration results for a Brownian directed percolation problem Stochastic Processes and their Applications, Volume 102, 2002 Pages 207-220
- 2005: Nicolai V. Krylov for the paper
On weak uniqueness for some diffusions with discontinuous coefficients Stochastic Processes and their Applications, Volume 113, Issue 1, September 2004, Pages 37-64
- 2007: Sylvie Roelly and Michèle Thieullen for the paper
Duality formula for the bridges of a Brownian diffusion: Application to gradient drifts Stochastic Processes and their Applications, Volume 115, Issue 10, October 2005, Pages 1677-1700
- 2009: Marc Wouts for the paper
A coarse graining for the Fortuin-Kasteleyn measure in random media Stochastic Processes and their Applications, Volume 118, Issue 11, November 2008, Pages 1929-1972
- 2011: Nathalie Eisenbaum and Haya Kaspi for the paper
On permanental processes Stochastic Processes and their Applications, Volume 119, Issue 5, May 2009, pages 1401-1415
- 2013: Hirofumi Osada for the paper
Interacting Brownian motions in infinite dimensions with logarithmic interaction potentials II: Airy random point field Stochastic Processes and their Applications, Volume 123, Issue 3, March 2013, pages 813–838
- 2015: Francis Comets and Michael Cranston, for the paper
Overlaps and pathwise localization in the Anderson polymer model Stochastic Processes and their Applications. Volume 123, Issue 6, June 2013, Pages 2446–2471
- 2017: Noemi Kurt, Adrian G. Casanova, Anton Wakolbinger and Linglong Yuan, for their paper
An individual-based model for the Lenski experiment, and the deceleration of the relative fitness Stochastic Processes and their Applications. Volume 126, Issue 8, August 2016, Pages 2211-2252
- 2019: Zhen-Qing Chen and Masatoshi Fukushima, for their paper
Stochastic Komatsu-Loewner evolution and BMD domain constant Stochastic Processes and their Applications. Volume 128, Issue 2, February 2018, Pages 545-594
- 2021: Anne van Delft, for her paper
A note on quadratic forms of stationary functional time series under mild conditions Stochastic Processes and their Applications. Volume 130, Issue 7, July 2020, Pages 4206-4251
- 2023: Alexander Iksanov and Andrey Pilipenko, for the paper
On a skew stable Lévy process Stochastic Processes and their Applications. Volume 156, February 2023, Pages 44-68.
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