title: Statistics for phylogenetic trees.
abstract: This paper poses the problem of estimating and validating phylogenetic trees in statistical terms. The problem is hard enough to warrant several tacks: we reason by analogy to rounding real numbers, and dealing with ranking data. These are both cases where, as in phylogeny the parameters of interest are not real numbers. Then we pose the problem in geometrical terms, using distances and measures on a natural space of trees. We do not solve the problems of inference on tree space, but suggest some coherent ways of tackling them.
authors.affiliation: Statistics Department, Stanford University, CA 94305-4065, USA. susan@stat.stanford.edu
authors.forename: Susan
authors.initials: S
authors.lastname: Holmes
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D016013:Likelihood Functions; D010802:Phylogeny; D015203:Reproducibility of Results; D013223:Statistics as Topic / Q000379:methods*