Fabienne Comte

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Fabienne Comte is a French statistician known for her research on topics including statistical finance, stochastic volatility, autoregressive conditional heteroskedasticity, and deconvolution. She is a professor in the unit for mathematics and computer science at the University of Paris.

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Education and career

Comte studied mathematics at ENS Cachan and Paris-Sud University, earning a licentiate in 1988, a master's degree in 1989, and an agrégation in 1990, with a specialty in probability. She earned a diplôme d'études approfondies in 1991, through a cooperative program with Paris 1 Panthéon-Sorbonne University, the École Polytechnique, and ENSAE ParisTech, [1] and completed her doctorate in applied mathematics in 1994 through Paris 1 with the thesis Causalité, Cointégration, Mémoire Longue : Modélisation Stochastique en temps continu, estimation et simulation, supervised by mathematical economist Eric Renault. [1] [2]

She worked as maître de conférences at Pierre and Marie Curie University from 1995 until 2001, earning a habilitation there in 2000. In 2001 became professor at Paris Descartes University, which merged into the University of Paris in 2019. [1]

Book

Comte is the author of the book Estimation non-paramétrique [Nonparametric estimation], published in 2015. [3]

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References

  1. 1 2 3 Curriculum vitae (PDF), retrieved 2021-11-29
  2. Fabienne Comte at the Mathematics Genealogy Project
  3. Zbl   1357.62005