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Selected Works of R.M. Dudley (Paperback, Softcover reprint of the original 1st ed. 2010)
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Selected Works of R.M. Dudley (Paperback, Softcover reprint of the original 1st ed. 2010)
Series: Selected Works in Probability and Statistics
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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 Frechet 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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