Finite Markov chain imbedding and its application to matching probability between two MAarkov depend

来源 :IMS-China International Conference on Statistics and Probabi | 被引量 : 0次 | 上传用户:pupuaw
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  The length of the longest matching between two DNA sequences plays an im portant rule in genomic studies.The exact distribution of longest matching remains unknown especially when both sequences are Markov dependent.In this talk, Finite Markov Chain imbedding (FMCI) technique will be introduced.Using the FMCI technique, the exact distribution of the length of the longest matching between two Markov dependent sequences will be in terms of transition probability matrix of imbedded Markov chain.Numerical results are provided to illustrate the theoretical results.
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