Markov chain model
2016-08-23
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Application background
Concept of stochastic processesThe results of a randomized trial have many possibilities, and a random variable (or random vector) is used in mathematics.The. In many cases, people not only need to observe the random phenomena, but also to carry out many times, and even to meetContinuous observation of its changing process. This is to study infinite, that is, a group of random variables. Stochastic process theoryIt is the probability law of the study of the change of random phenomena.Definition 1 let t T} T and zeta {, is a random variable, T is a set of real number, if for any real t t in T,.Is a random variable, called t T} T, zeta {, stochastic process.T is called parameter collection, and the parameter t can be considered as time. T.Each of the possible values is called a random process.State. A collection of all possible values is called the state space, denoted as E. When the parameter set T is non negative integerWhen the number of setsmatlab
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马氏
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