In probability theory, a stochastic process, or often random process, is a collection of random variables, representing the evolution of some system of random values over time. This is the probabilistic counterpart to a deterministic process. Instead of describing a process which can only evolve in one way, in a stochastic or random process there is some indeterminacy: even if the initial condition is known, there are several directions in which the process may evolve. This book emphasis on the theory of stochastic processes in an elementary manner.
Print ISBN: 9781682501078 | $ 170 | 2016 | Hardcover
Contributors: Hiroaki Yoshida, Katsuhito Yamaguchi et al