Efficient estimation of the accuracy of the maximum likelihood method for ancestral state reconstruction

Authors:
Bin Ma;Louxin Zhang
Affiliations:
David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada;Department of Mathematics, National University of Singapore, Singapore, Singapore
Venue:
Journal of Combinatorial Optimization
Year:
2011

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Abstract

The marginal maximum likelihood method is a widely-used method for ancestral state reconstruction. Given an evolution model (a phylogeny tree and the edge mutation rates) and the extant states (states on leaves), the method computes efficiently the most likely ancestral state on the root. However, when the extant states are randomly generated by using the evolutionary model, it is unknown how to efficiently calculate the expected reconstruction accuracy of the marginal maximum likelihood method. In this paper, a fully polynomial time approximation scheme (FPTAS) is presented for the calculation.