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arXiv · 1705.06826

Simulations, Computations, and Statistics for Longest Common Subsequences

Qingqing Liu·Christian Houdré
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Abstract

The length of the longest common subsequences (LCSs) is often used as a similarity measurement to compare two (or more) random words. Below we study its statistical behavior in mean and variance using a Monte-Carlo approach from which we then develop a hypothesis testing method for sequences similarity. Finally, theoretical upper bounds are obtained for the Chv\'atal-Sankoff constant of multiple sequences.

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Qingqing Liu, Christian Houdré. 2017-05-18. Simulations, Computations, and Statistics for Longest Common Subsequences. https://arxiv.org/abs/1705.06826

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