Probabilistic and Statistical Methods in Computer Science presents a
large variety of applications of probability theory and statistics in
computer science and more precisely in algorithm analysis, speech
recognition and robotics. It is written on a self-contained basis: all
probabilistic and statistical tools needed are introduced on a
comprehensible level. In addition all examples are worked out
completely.
Most of the material is scattered throughout available literature.
However, this is the first volume that brings together all of this
material in such an accessible format.
Probabilistic and Statistical Methods in Computer Science is intended
for students in computer science and applied mathematics, for engineers
and for all researchers interested in applications of probability theory
and statistics. It is suitable for self study as well as being
appropriate for a course or seminar.