An application method of non-transient or mutation Markov chain
Chen Tong-ying · Journal of Fujian Agriculture and Forestry University · 2006
A kind of non-transient or mutation state transition process was introduced.By means of Bayes formula,state transition probablity matrix of Markov process was revised,and prior probablity distribution was modified into posterior probablity distribution.By absorbing the information of the whole process,state transition probablity matrix to reflect the whole process was obtained,therefore,the purpose expected was achieved.It was concluded that it had the property of information absorption disorder.