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Re: About the Bootstrap...





Gilles Escarguel wrote:

Dear all,

I have two simple questions about the bootstrap technique to estimate
confidence levels on edges and nodes.

First, it seems to me that authors have different definitions on what is
a *parametric* bootstrap. Is it: (i) a resampling procedure allowing to
assess confidence levels on an a priori phylogenetic hypothesis -- a
parametric topology -- given the available data, or (ii) a resampling
procedure without any a priori hypothesis but recquiring confidence
intervals (e.g., standard errors) linked to each descriptor (mean
values) for each analyzed taxon to be known in order to generate
pseudo-samples (e.g., by gaussian random drawing from N[mean; S.E.])? In
this second case, parametric bootstrap cannot be used with molecular
data and discrete morphological data (0/1), but can easilly be used with
biometrical and/or morphometrical data in association with distance
methods. If (ii) is not what is usually named a parametric bootstrap,
what it is? Is it known if confidence levels estimated with this second
resampling procedure have the same properties than more classic
nonparametric (1st order) bootstrap CL?


iii. A parametric bootstrap generates its pseudoreplicate data sets using an explicit model of evolution abstracted from the data, rather than resampling the actual data as in a non-parametric bootstrap. If, for example, I wanted to get bootstrapped data sets for a set of DNA sequences, I might first estimate a tree using some phylogenetic analysis program, then estimate evolutionary parameters over that tree (transition/transversion ratio, proportion of invariable sites, base composition, etc.), and then plug those parameters and that tree into an evolution simulation program to get a new data set. Repeated many times, I would have a set of pseudoreplicate data sets. Those pseudoreplicates can then be used for all sorts of purposes. See this for example:

Huelsenbeck, J. P., D. M. Hillis, and R. Jones. 1996. Parametric bootstrapping in molecular phylogenetics: Applications and performance. Pages 19-45 in Molecular zoology: Advances, strategies, and protocols (J. D. Ferraris and S. R. Palumbi, eds.). Wiley.

Second, since Efron's et al. (1996: PNAS, 93: 7085-7090) paper on second
order bootstrap confidence levels computation, does anyone here know if
algorithms and/or programs allowing to compute them in association with
distance methods (e.g., L.S. or N.J.)  have been published? I think the
last version of Phylip (3.6alpha3) does not allow to compute them -- it
should be an interesting improvment of this package!


I know nothing about this.




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