This book covers the basics of modern probability theory. It begins
with probability theory on finite and countable sample spaces and
then passes from there to a concise course on measure theory, which
is followed by some initial applications to probability theory,
including independence and conditional expectations. The second
half of the book deals with Gaussian random variables, with Markov
chains, with a few continuous parameter processes,... more...