probabilistes

Probabilistes are mathematicians who specialize in probability theory, the mathematical study of randomness and uncertainty. They develop and analyze models that use random variables and stochastic processes to describe systems influenced by chance, aiming to establish rigorous foundations and prove general theorems about distributions, convergence, and structure.

The field has roots in 17th‑century problems posed by gamblers and philosophers, with early contributions from Blaise Pascal and Pierre de Fermat. In the 20th century, Andrey Kolmogorov's axiomatization of probability (1933) provided a unifying foundation. Other influential probabilists include Émile Borel, Paul Lévy, Norbert Wiener, and Joseph Doob, who advanced measure theory, stochastic processes, and martingale theory.

Today probabilists work in pure areas such as measure theory, stochastic calculus, limit theorems, and martingale theory, as well as applied domains including quantitative finance, statistical mechanics, computer science, and epidemiology. They publish in specialized journals such as Annals of Probability and Stochastic Processes and their Applications, and frequently collaborate with statisticians and researchers in related fields.