The material presented in this chapter should give adequate preparation for those interested in specializing in specific areas of advanced probability and stochastic processes . 這一章所講的內容,對有志于專攻高深概率和隨機過程方面的人,將給出充分的準備。
Measurability on two - dimensional stochastic processes 兩參數(shù)隨機過程的可測性
A stationary subclass of a kind of stochastic processes 一類隨機過程的一個平穩(wěn)子類
Stability of set - value stochastic processes 關于集值隨機過程的平穩(wěn)性
Stopping of two - parameter stochastic processes 兩指標隨機過程的停止
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).