Students and teachers of mathematics and related fields will find in
this second edition, as previously, a comprehensive and modern approach
to probability theory, providing the background and techniques to go
from the beginning graduate level to the point of specialization in
research areas of current interest. The book is designed for a two- or
three-semester course, assuming only courses in undergraduate real
analysis or rigorous advanced calculus, and some elementary linear
algebra. A variety of applications--Bayesian statistics, financial
mathematics, information theory, tomography, and signal
processing--appear as threads to both enhance the understanding of the
relevant mathematics and motivate students whose main interests are
outside of pure areas.