Composite likelihood estimation of demographic parameters

January 2009
BMC Genetics;2009, Vol. 10, p72
Academic Journal
No abstract available.


Related Articles

  • Distinguishing Between Selective Sweeps and Demography Using DNA Polymorphism Data. Jensen, Jeffrey D.; Yuseob Kim; DuMont, Vanessa Bauer; Aquadro, Charles F.; Bustamante, Carlos D.; Walsh, J. B. // Genetics;Jul2005, Vol. 170 Issue 3, p1401 

    In 2002 Kim and Stephan proposed a promising composite-likelihood method for localizing and estimating the fitness advantage of a recently fixed beneficial mutation. Here, we demonstrate that their composite-likelihood-ratio (CLR) test comparing selective and neutral hypotheses is not robust to...

  • An Integrated Framework for the Inference of Viral Population History From Reconstructed... Pybus, Oliver G.; Rambaut, Andrew // Genetics;Jul2000, Vol. 155 Issue 3, p1429 

    Presents an integrated framework for the inference of viral population history from reconstructed genealogies. Effect of phylogenetic reconstruction on demographic parameter estimates; Bias and variability of maximum-likelihood estimates of exponential model parameters; Skyline plots of the...

  • A combined estimating function approach for fitting stationary point process models. Deng, C.; Waagepetersen, R. P.; Guan, Y. // Biometrika;Jun2014, Vol. 101 Issue 2, p393 

    A composite likelihood technique based on pairwise contributions provides a computationally simple but potentially inefficient approach for fitting spatial point process models. We propose a new estimation procedure that improves the efficiency. Our approach combines estimating functions derived...

  • Maximum likelihood estimation using composite likelihoods for closed exponential families. Mardia, Kanti V.; Kent, John T.; Hughes, Gareth; Taylor, Charles C. // Biometrika;Dec2009, Vol. 96 Issue 4, p975 

    In certain multivariate problems the full probability density has an awkward normalizing constant, but the conditional and/or marginal distributions may be much more tractable. In this paper we investigate the use of composite likelihoods instead of the full likelihood. For closed exponential...

  • A Composite-Likelihood Approach for Detecting Directional Selection From DNA Sequence Data. Lan Zhu; Bustamante, Carlos D.; Rand, D. // Genetics;Jul2005, Vol. 170 Issue 3, p1411 

    We present a novel composite-likelihood-ratio test (CLRT) for detecting genes and genomic regions that are subject to recurrent natural selection (either positive or negative). The method uses the likelihood functions of HARTL et al. (1994) for inference in a Wright-Fisher genic selection model...

  • A new serially correlated gamma-frailty process for longitudinal count data. M. Fiocco; H. Putter; J.C. Van Houwelingen // Biostatistics;Apr2009, Vol. 10 Issue 2, p245 

    We describe a new multivariate gamma distribution and discuss its implication in a Poisson-correlated gamma-frailty model. This model is introduced to account for between-subjects correlation occurring in longitudinal count data. For likelihood-based inference involving distributions in which...

  • Weighted pairwise likelihood estimation for a general class of random effects models. Vasdekis, Vassilis G. S.; Rizopoulos, Dimitris; Moustaki, Irini // Biostatistics;Oct2014, Vol. 15 Issue 4, p677 

    Models with random effects/latent variables are widely used for capturing unobserved heterogeneity in multilevel/hierarchical data and account for associations in multivariate data. The estimation of those models becomes cumbersome as the number of latent variables increases due to...

  • A note on a partial empirical likelihood. Zou, F.; Fine, J. P. // Biometrika;Dec2002, Vol. 89 Issue 4, p958 

    A partial profile empirical likelihood for a semiparametric mixture model (Zou et al., 2002) is shown to originate in a conditional likelihood involving additional nuisance parameters. The partial likelihood is the conditional likelihood with the nuisance parameters replaced by their estimators...

  • Tests for Kronecker envelope models in multilinear principal components analysis. Schott, James R. // Biometrika;Dec2014, Vol. 101 Issue 4, p978 

    We develop likelihood methods for the Kronecker envelope model in the principal components analysis of matrix observations that have a multivariate normal distribution. Maximum likelihood estimates are derived and the associated likelihood ratio statistic for a test of this Knonecker envelope...

  • Estimating Recombination Rates From Single-Nucleotide Polymorphisms Using Summary Statistics. Padhukasahasram, Badri; Wall, Jeffrey D.; Marjoram, Paul; Nordborg, Magnus // Genetics;Nov2006, Vol. 174 Issue 3, p1517 

    We describe a novel method for jointly estimating crossing-over and gene-conversion rates from population genetic data using summary statistics. The performance of our method was tested on simulated data sets and compared with the composite-likelihood method of R. R. Hudson. For several...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics