Large deviation estimates have proved to be the crucial tool
required to handle many questions in statistics, engineering,
statistial mechanics, and applied probability. Amir Dembo and Ofer
Zeitouni, two of the leading researchers in the field, provide an
introduction to the theory of large deviations and applications at
a level suitable for graduate students. The mathematics is rigorous
and the applications come from a wide range of areas, including
electrical engineering and DNA sequences.
The second edition, printed in 1998, included new material on
concentration inequalities and the metric and weak convergence
approaches to large deviations. General statements and applications
were sharpened, new exercises added, and the bibliography updated.
The present soft cover edition is a corrected printing of the 1998
edition.
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