Jean-Pierre Florens

Jean-Pierre Florens (born 6 July 1947) is an influential French econometrician at Toulouse School of Economics.[1] He is known for his research on Bayesian inference,[2] econometrics of stochastic processes, causality, frontier estimation, and inverse problems.[3][4]

Jean-Pierre Florens
Born(1947-07-06)6 July 1947
Marseille, France
NationalityFrench
Alma materAix-Marseille University
Scientific career
FieldsEconometrics
InstitutionsToulouse 1 University Capitole
Toulouse School of Economics
Doctoral advisorJean-Pierre Raoult

Biography

Jean Pierre Florens was born in Marseille in 1947, France. He completed his undergraduate studies in economics, political science, and mathematics at the Aix-Marseille University. He pursued graduate studies in mathematics at the University of Rouen. Florens is a fellow of the Econometric Society.[5] He advised more than 50 Ph.D. students including many influential scholars.

Bibliography

Florens has written 3 books and over 100 articles.[6]

Books
  • Elements of Bayesian Statistics (Ed.), Marcel Dekker, 1990 (with Michel Mouchart and Jean-Marie Rolin).[7]
  • Econometric Modeling and Inference, Cambridge University Press, 2007 (with Velayoudom Marimoutou and Anne Peguin-Feissolle).[8]

References
  1. Babii, Andrii; Ghysels, Eric (June 2020). "ET Interview: Jean-Pierre Florens by Andrii Babii and Eric Ghysels". Econometric Theory. 36 (3): 369–385. doi:10.1017/S0266466619000100. S2CID 181595280.
  2. Florens (12 March 1990). Elements of Bayesian Statistics. ISBN 9780824781231.
  3. Carrasco, Marine; Florens, Jean-Pierre; Renault, Eric (January 2007). "Chapter 77 Linear Inverse Problems in Structural Econometrics Estimation Based on Spectral Decomposition and Regularization". Linear Inverse Problems in Structural Econometrics Estimation Based on Spectral Decomposition and Regularization (PDF). Handbook of Econometrics. Vol. 6. Elsevier. pp. 5633–5751. doi:10.1016/S1573-4412(07)06077-1. ISBN 9780444532008.
  4. "Jean-Pierre Florens: Inverse problems in econometrics". YouTube.
  5. "Econometric Society".
  6. "Curriculum Vitae" (PDF).
  7. Elements of Bayesian Statistics. Routledge. 22 January 2019. ISBN 9781351452878.
  8. Richard, Jean-François (25 April 2011). "Book Review by Jean-François Richard". Econometric Reviews. 30 (5): 577–581. doi:10.1080/07474938.2011.553565. S2CID 154080851.
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