The material presented in this chapter should give adequate preparation for those interested in specializing in specific areas of advanced probability and stochastic processes . 这一章所讲的内容,对有志于专攻高深概率和随机过程方面的人,将给出充分的准备。
Measurability on two - dimensional stochastic processes 两参数随机过程的可测性
A stationary subclass of a kind of stochastic processes 一类随机过程的一个平稳子类
Stability of set - value stochastic processes 关于集值随机过程的平稳性
Stopping of two - parameter stochastic processes 两指标随机过程的停止
In probability theory, a stochastic process (), or sometimes random process (widely used) is a collection of random variables; this is often used to represent the evolution of some random value, or system, over time. This is the probabilistic counterpart to a deterministic process (or deterministic system).