基于概率矩阵的马尔可夫统计公式分析

Markov Probability Matrix Based on the Analysis of Statistical Formula

马尔可夫公式是一种特殊的概率模式。其研究对象为一个运行系统的状态和状态转移。由于许多经济系统的动态过程可以抽象成状态转移过程,所以应用马尔可夫链方法研究一个运行系统的状态和状态转移,在经济生活中有着非常广泛的应用前景。在利用马尔可夫链进行市场预测时,其关键是状态转移概率的确定。

The Markov formula is a special probability models. The study is the state of a running system and the state transition. Since many of the dynamic process of economic system can abstract the process into a state transition, so the application of a Markov chain method of operation of the system state and state transition in the economic life has a very broad application prospects. Markov chain in the use of market forecasts, the key is to determine the probability of state transition. However, the transition probability of the data is generally more difficult to get. In this paper, the law of the use of the stock market for an effective prediction formula, in practice there is a good guide.