For almost fifty years, Richard M. Dudley has been extremely
influential in the development of several areas of Probability. His
work on Gaussian processes led to the understanding of the basic
fact that their sample boundedness and continuity should be
characterized in terms of proper measures of complexity of their
parameter spaces equipped with the intrinsic covariance metric. His
sufficient condition for sample continuity in terms of metric
entropy is widely used and was proved by X. Fernique to be
necessary for stationary Gaussian processes, whereas its more
subtle versions (majorizing measures) were proved by M. Talagrand
to be necessary in general.
Together with V. N. Vapnik and A. Y. Cervonenkis, R. M. Dudley
is a founder of the modern theory of empirical processes in general
spaces. His work on uniform central limit theorems (under
bracketing entropy conditions and for Vapnik-Cervonenkis classes),
greatly extends classical results that go back to A. N. Kolmogorov
and M. D. Donsker, and became the starting point of a new line of
research, continued in the work of Dudley and others, that
developed empirical processes into one of the major tools in
mathematical statistics and statistical learning theory.
As a consequence of Dudley's early work on weak convergence of
probability measures on non-separable metric spaces, the Skorohod
topology on the space of regulated right-continuous functions can
be replaced, in the study of weak convergence of the empirical
distribution function, by the supremum norm. In a further recent
step Dudley replaces this norm by the stronger p-variation norms,
which then allows replacing compact differentiability of many
statistical functionals by Fr chet differentiability in the delta
method.
Richard M. Dudley has also made important contributions to
mathematical statistics, the theory of weak convergence,
relativistic Markov processes, differentiability of nonlinear
operators and several other areas of mathematics.
Professor Dudley has been the adviser to thirty PhD's and is a
Professor of Mathematics at the Massachusetts Institute of
Technology.
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