نتایج جستجو برای: divergence time estimation

تعداد نتایج: 2136009  

Journal: :Systematic biology 2011
R Alexander Pyron

Were molecular data available for extinct taxa, questions regarding the origins of many groups could be settled in short order. As this is not the case, various strategies have been proposed to combine paleontological and neontological data sets. The use of fossil dates as node age calibrations for divergence time estimation from molecular phylogenies is commonplace. In addition, simulations su...

2013
Cino Pertoldi Hanne Birgitte Hede Jørgensen Ettore Randi Lasse Fast Jensen Anders Kjærsgaard Volker Loeschcke Søren Faurby

Background: The spatial genetic structuring of natural populations is mostly studied using neutral markers. Recently, morphometric methods have also been used to to study genetic divergence through adaptive processes. These methods provide better insights into the conservation needs of focal populations. However, all morphometric methods assume that samples obtained in different localities repr...

Journal: :CoRR 2015
Varun Jog Po-Ling Loh

We derive sharp thresholds for exact recovery of communities in a weighted stochastic block model, where observations are collected in the form of a weighted adjacency matrix, and the weight of each edge is generated independently from a distribution determined by the community membership of its endpoints. Our main result, characterizing the precise boundary between success and failure of maxim...

Journal: :Systematic biology 2005
Christian Peter Klingenberg Leandro R Monteiro

Aris-Brosou, S., and Z. Yang. 2002. Effects of models of rate evolution on estimation of divergence dates with special reference to the metazoan 18S ribosomal RNA phylogeny. Syst. Biol. 51:703–714. Aris-Brosou, S., and Z. Yang. 2003. Bayesian models of episodic evolution support a late precambrian explosive diversification of the metazoa. Mol. Biol. Evol. 20:1947–1954. Ayala, F. J., A. Rzhetsky...

2012
M. Kárný K. Dedecius

Adaptive systems rely on recursive estimation of a firmly bounded complexity. As a rule, they have to use an approximation of the posterior probability density function (pdf), which comprises unreduced information about the estimated parameter. In recursive setting, the latest approximate pdf is updated using the learnt system model and the newest data and then approximated. The fact that appro...

Journal: :Genetical research 1997
Z Yang

The theory developed by Takahata and colleagues for estimating the effective population size of ancestral species using homologous sequences from closely related extant species was extended to take account of variation of evolutionary rates among loci. Nuclear sequence data related to the evolution of modern humans were reanalysed and computer simulations were performed to examine the effect of...

Journal: :Proceedings of the National Academy of Sciences of the United States of America 1982
E B Fabes D S Jerison C E Kenig

We obtain a collection of multilinear Littlewood-Paley estimates, which we then apply to two problems in partial differential equations. The first problem is the estimation of the square root of an elliptic operator in divergence form, and the second is the estimation of solutions to the Cauchy problem for nondivergence-form parabolic equations.

2004
MICHAEL J. SANDERSON JEFFREY L. THORNE NIKLAS WIKSTRÖM

Estimation of divergence times from sequence data has become increasingly feasible in recent years. Conflicts between fossil evidence and molecular dates have sparked the development of new methods for inferring divergence times, further encouraging these efforts. In this paper, available methods for estimating divergence times are reviewed, especially those geared toward handling the widesprea...

2007
XuanLong Nguyen Martin J. Wainwright Michael I. Jordan

We develop and analyze an algorithm for nonparametric estimation of divergence functionals and the density ratio of two probability distributions. Our method is based on a variational characterization of f -divergences, which turns the estimation into a penalized convex risk minimization problem. We present a derivation of our kernel-based estimation algorithm and an analysis of convergence rat...

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