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Judith Rousseau

From Wikipedia, the free encyclopedia
Judith Rousseau
Judith Rousseau in 2024
Scientific career
FieldsStatistics
InstitutionsUniversité Paris-Dauphine
University of Oxford
Paris Descartes University
ENSAE
Thesis Étude des propriétés asymptotiques des estimateurs de Bayes  (1997)
Paul Deheuvels and Christian Robert

Judith Rousseau is a Bayesian statistician who studies frequentist properties of Bayesian methods.[1] She is a professor of statistics at Université Paris-Dauphine. She was previously a professor at the University of Oxford, a Fellow of Jesus College, Oxford,[2] and a professor at ENSAE Paris. She a Fellow of the Institute of Mathematical Statistics[3] and a Fellow of the International Society for Bayesian Analysis.[4]

Education and career

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Rousseau studied statistics and economics at ENSAE ParisTech, starting in pure mathematics but changing fields after taking a statistics class "because of all the interactions it has with other fields".[1] She completed a doctorate in 1997 at Pierre and Marie Curie University. Her dissertation, Asymptotic properties of Bayes estimators, was supervised by Christian Robert.[2][5]

She taught at Paris Descartes University from 1998 to 2004, Paris-Dauphine University beginning in 2004, and (while on leave from Paris-Dauphine) at ENSAE from 2009 to 2014.[2] She became Professor of Statistics at Oxford in 2017[6], then returned to Paris-Dauphine in 2023.

Recognition

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In 2015 Rousseau won the inaugural Ethel Newbold Prize of the Bernoulli Society for Mathematical Statistics and Probability. The award recognizes a "recipient of any gender who is an outstanding statistical scientist for a body of work that represents excellence in research in mathematical statistics". The body of work for which Rousseau was recognized includes her work on infinite-dimensional variants of the Bernstein–von Mises theorem.[1]

In 2019, she was awarded a European Research Council (ERC) Advance Grant for her project "General theory for Big Bayes".

As of 2026, she is president-elect of the International Society for Bayesian Analysis.

References

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  1. 1 2 3 ""I like the Bayesian approach because I find it natural and it has this kind of internal coherence that makes it very appealing": An interview with Judith Rousseau", Statistics Views, John Wiley & Sons, 30 August 2016, archived from the original on 2018-02-09, retrieved 2018-02-08
  2. 1 2 3 Professor Judith Rousseau, Jesus College, Oxford, retrieved 2018-02-08
  3. Honored IMS Fellows, Institute of Mathematical Statistics, archived from the original on 2014-03-02, retrieved 2018-02-08
  4. ISBA Fellows, International Society for Bayesian Analysis, retrieved 2018-02-08
  5. Judith Rousseau at the Mathematics Genealogy Project
  6. "Appointments", Oxford University Gazette, 5160, 23 February 2017, archived from the original on 26 March 2018, retrieved 9 February 2018