Improved variance estimators for one- and two-parameter models of nucleotide substitution

Hsiuying Wang, Yun Huei Tzeng, Wen Hsiung Li*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

The current variance estimators for Jukes and Cantor's one-parameter model and Kimura's two-parameter model tend to underestimate the true variances when the true proportion of differences between the two sequences under study is not small. In this paper, we developed improved variance estimators, using a higher-order Taylor expansion and empirical methods. The new estimators outperform the conventional estimators and provide accurate estimates of the true variances.

Original languageEnglish
Pages (from-to)164-167
Number of pages4
JournalJournal of Theoretical Biology
Volume254
Issue number1
DOIs
StatePublished - 7 Sep 2008

Keywords

  • Empirical formulas
  • Substitution model
  • Taylor expansion
  • Variance estimator

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