Content: Stochastic processes in discrete and continuous time; Markov chains: Markov property, Chapman-Kolmogorov equation, classification of states, stationary distribution, examples of infinite ...

The Annals of Probability, Vol. 3, No. 1 (Feb., 1975), pp. 80-88 (9 pages) A relationship between the path structure of two real discrete time stochastic processes is deduced from inequalities between ...

Controlled Galton–Watson processes furnish examples for the processes under consideration. The purpose of The Annals of Probability is to publish contributions to the theory of probability and ...

Physicists have shown that Markov processes, widely used to model complex systems, must unfold over a larger space than previously assumed. Scientists believe that time is continuous, not discrete ...