Jacques Neveu

Research Neveu is one of the founders of the modern theory of probability. His research deals with Markov processes, Markov chains, Gaussian processes, martingales, ergodic theory, random trees (especially Galton-Watson processes and Galton-Watson trees), and Dirac measures, as well as applications of probability theory to statistics, computer science, combinatorics, and statistical physics. In 1986 he introduced the concept of arbre de Galton-Watson (Galton-Watson tree) within the framework of discrete random trees; within the mathematical formalism of Galton-Watson trees, the is named in his honor.

Commemoration Several mathematicians have paid tribute to Neveu for his influence on the modern theory of probability.

He was outstanding in teaching as well as research. In honor of Neveu, a prize is awarded by the MAS group of the SMAI to the year's best of the new French holders of doctorates in mathematicians or statistics on the basis of the judged quality of the dissertation.

Prix Jacques Neveu The laureates are: Théorie de la mesure et intégration, cours de l'École polytechnique, 1983 Introduction aux processus aléatoires, École Polytechnique 1985