多重马尔可夫链 meaning in Chinese
multiple markov chain
Examples
- What this difference causes in maths is that the iterative sequence of the common nonlinear time series model develops one markov chain on general state space or multiple markov chain , while the iterative sequence of nonlinear time series models 1 , 2 , 3 in random environment have not possessed such better nature
这个不同之处在数学上引起的后果是：一般非线性时间序列模型的迭代序列形成一个一般状态马尔可夫链或多重马尔可夫链；而随机环境下的非线性时间序列模型1 ， 2和3的迭代序列，却无此良好的性质。