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Activity Number: 427
Type: Contributed
Date/Time: Wednesday, August 9, 2006 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #306166
Title: An Algorithm for Finite Markov Chain Imbedding Approach
Author(s): Lung-An Li*+
Companies: Academia Sinica
Address: Institute of Statistical Science, Taipei, 11529, Taiwan
Keywords: transition matrix ; offspring
Abstract:

The finite Markov chain imbedding technique is a powerful tool to study the exact distribution of patterns in sequences. There are many practical applications by utilizing this technique. However, the key step of this method is to construct a transition matrix for the imbedded Markov chain, which is nontrivial. It heavily depends on the problem itself, especially case by case. This paper studies the feasibility to build an algorithm for such a construction shared commonly for most cases.

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