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
NationalityFrance
Alma materAix-Marseille University
Scientific career
FieldsEconometrics
InstitutionsToulouse 1 University Capitole
Toulouse School of Economics
Doctoral advisorJean-Pierre Raoult
InfluencesEdmond Malinvaud
Jacques Drèze

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. "ET Interview: Jean-Pierre Florens by Andrii Babii and Eric Ghysels".
  2. Florens (12 March 1990). Elements of Bayesian Statistics. ISBN 9780824781231.
  3. "Linear Inverse Problems in Structural Econometrics Estimation Based on Spectral Decomposition and Regularization".
  4. "Jean-Pierre Florens: Inverse problems in econometrics".
  5. "Econometric Society".
  6. "Curriculum Vitae" (PDF).
  7. "Elements of Bayesian Statistics".
  8. "Book Review by Jean-François Richard". doi:10.1080/07474938.2011.553565. S2CID 154080851. Cite journal requires |journal= (help)
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