Daniel Revuz (born 1936 in Paris) is a French mathematician specializing in probability theory, particularly in functional analysis applied to stochastic processes.
[1] Revuz graduated from Polytechnique in 1956[2] and received his doctorate from the Sorbonne in 1969 under Jacques Neveu and Paul-André Meyer.
[3] He taught at Paris Diderot University at the Laboratory for Probability Theory of the Institut Mathématique de Jussieu.
[4] From his doctoral thesis work Revuz published two articles in 1970, in which he established a theory of one-to-one correspondence between positive Markov additive functionals and associated measures.
[8] Wilfrid Kendall called it "the book for a capable graduate student starting out on research in probability.