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Paul Deheuvels: Mentor, Advocate for Statistics, and Applied Statistician

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Mathematical Statistics and Limit Theorems

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Abstract

Paul Deheuvels is best known internationally as a theoretical statistician, but he has made many other contributions. Here I give a brief overview of his work as a mentor of many doctoral students, as an advocate for the discipline of statistics, particularly in the context of his work as the only statistician member of the French Académie des Sciences, and as an applied statistician.

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References

  • Andalo, et al. C. (2012). Science et conscience. Le Monde, November 14, 2012. http://www.lemonde.fr/idees/article/2012/11/14/science-et-conscience_1790174_3232.html.

  • Csörgö, S., Deheuvels, P., & Mason, D. M. (1985). Kernel estimates of the tail index of a distribution. Annals of Statistics, 13, 1050–1077.

    Article  MATH  MathSciNet  Google Scholar 

  • Deheuvels, P. (1973). Sur la convergence de sommes de minimums de variables aléatoires. Comptes Rendus de l’Académie des Sciences de Paris, Série A, 276, 309–312.

    MATH  MathSciNet  Google Scholar 

  • Deheuvels, P. (1981). La prévision des séries économique, une technique subjective. Archives de l’I.S.M.E.A., 4, 729–748.

    Google Scholar 

  • Deheuvels, P. (1982). La Probabilité, le Hasard et la Certitude (1st ed.). Collection Que Sais-je? Presses Universitaires de France.

    Google Scholar 

  • Deheuvels, P. (1998). Fluctuations du processus de risque et coefficient d’adjustement. Atti del XXI Convegno Annuale A.M.A.S.E.S. Appendice, 21, 41–60.

    Google Scholar 

  • Deheuvels, P. (2001). L’aventure scientifique de la statistique. Discours et Notice Biographiques (pp. 47–52). Tome IV: Académie des Sciences.

    Google Scholar 

  • Deheuvels, P. (2008). La Probabilité, le Hasard et la Certitude (4th ed.). Collection Que Sais-je? Presses Universitaires de France.

    Google Scholar 

  • Deheuvels, P. (2012). Étude de Séralini sur les OGM: pourquoi sa méthodologie est statistiquement bonne. Le Nouvel Observateur, October 7, 2012.

    Google Scholar 

  • Deheuvels, P. (2014). On testing stochastic dominance by exceedance, precedence and other distribution-free tests, with applications. In V. Couallier, L. Gerville-Reache, C. Huber-Carol, N. Limnios, & M. Mesbah (Eds.), Statistical models and methods for reliability and survival analysis (pp. 145–159). New York: Wiley.

    Google Scholar 

  • Deheuvels, P., & Steinebach, J. (1990). On some alternative estimates of the adjustment coefficient in risk theory. Scandinavian Actuarial Journal, 1990, 135–159.

    Article  MATH  MathSciNet  Google Scholar 

  • Deheuvels, P., & Mason, D. M. (1992). Functional laws of the iterated logarithm for the increments of empirical and quantile processes. Annals of Probability, 20, 1248–1287.

    Article  MATH  MathSciNet  Google Scholar 

  • Deheuvels, P., & Bernicot, M. (1995). A unified model for slug flow generation. Revue de l’Institut Français du Pétrole, 50, 219–236.

    Google Scholar 

  • Deheuvels, P., & Ouadah, S. (2013). Uniform-in-bandwidth functional limit laws. Journal of Theoretical Probability, 26, 697–721.

    Article  MATH  MathSciNet  Google Scholar 

  • Deheuvels, P., Devroye, L., & Lynch, J. (1986). Exact convergence rate in the limit theorems of Erdös-Rényi and Shepp. Annals of Probability, 14, 209–223.

    Article  MATH  MathSciNet  Google Scholar 

  • Deheuvels, P., Bernicot, M., & Dhulesia, H. (1993). On fractal dimension and modelling of bubble and slug flow processes. In A. Wilson (Ed.), Multi phase production, BHR group conference series 4. London: Mechanical Engineering Publications Ltd.

    Google Scholar 

  • Deheuvels, P., Richard, J. P., & Pierre-Loti-Viaud, D. (2000). Une approche nouvelle pour l’exploitation des empreintes chromatographiques. Annales des falsifications, de l’expertise chimique et toxicol, 92, 455–470.

    Google Scholar 

  • Haver, S. (2004). A possible freak wave event measured at the Draupner jacket January 1 1995. In Rogue Waves Workshop, Brest. http://www.ifremer.fr/web-com/stw2004/rw/fullpapers/walk_on_haver.pdf.

  • Lavielle, M. (2013). Rôle et limites de la statistique dans l’évaluation des risques sanitaires liés aux OGM. Statistique et Société, 1, 11–16.

    Google Scholar 

  • Raftery, A. E. (1979). Un problème de ficelle. Comptes Rendus de l’Académie des Sciences de Paris, Série A, 289, 703–705.

    MATH  MathSciNet  Google Scholar 

  • Raftery, A. E. (1980). Estimation efficace pour un processus autorégressif exponentiel à densité discontinue. Publications de l’Institut de Statistique des Universités de Paris, 25, 64–91.

    MathSciNet  Google Scholar 

  • Raftery, A. E. (1981). Un processus autorégressif à loi marginale exponentielle: propriétés asymptotiques et estimation de maximum de vraisemblance. Annales Scientifiques de l’Université de Clermont-Ferrand, 69, 149–160.

    MathSciNet  Google Scholar 

  • Raftery, A. E. (1982). Generalised non-normal time series models. In O. D. Anderson (Ed.), Time series analysis: Theory and practice (pp. 621–640). Amsterdam: North-Holland.

    Google Scholar 

  • Séralini, G. E., Clair, E., Mesnage, R., Gress, S., Defarge, N., Malatesta, M., et al. (2012). Long term toxicity of a Roundup herbicide and a Roundup-tolerant genetically modified maize. Food and Chemical Toxicology, 50, 4221–4231.

    Article  Google Scholar 

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Acknowledgments

This work was supported by a Science Foundation Ireland E.T.S.  Walton visitor award, grant reference 11/W.1/I2079. I am grateful to David Mason and Paul Deheuvels for helpful comments.

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Authors and Affiliations

  1. University of Washington, Seattle, WA, USA

    Adrian E. Raftery

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  1. Adrian E. Raftery
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Correspondence to Adrian E. Raftery .

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Editors and Affiliations

  1. European Centre for Advanced Research in Economics and Statistics, Université Libre de Bruxelles, Bruxelles, Belgium

    Marc Hallin

  2. Department of Applied Economics and Statistics, University of Delaware, Newark, Delaware, USA

    David M. Mason

  3. School of Mathematics and Science, Carl von Ossietzky University, Oldenburg, Germany

    Dietmar Pfeifer

  4. Mathematical Institute, University of Cologne, Köln, Germany

    Josef G. Steinebach

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Raftery, A.E. (2015). Paul Deheuvels: Mentor, Advocate for Statistics, and Applied Statistician. In: Hallin, M., Mason, D., Pfeifer, D., Steinebach, J. (eds) Mathematical Statistics and Limit Theorems. Springer, Cham. https://doi.org/10.1007/978-3-319-12442-1_1

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