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PHYLOGENIES FROM RESTRICTION SITES: A MAXIMUM‐LIKELIHOOD APPROACH [PDF]
Evolution, 1992 Restriction sites data can be analyzed by maximum likelihood to obtain estimates of phylogenies. The likelihood methods of Smouse and Li, who were able to compute likelihoods for up to four species under a simplified model of base change, can be extended numerically to deal with any number of species. The computational methods for doing so are outlined.
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Particle methods for maximum likelihood estimation in latent variable models [PDF]
, 2008 Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants.
Davy, Manuel +8 more
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Genetics Selection Evolution, 2005 Principal component analysis is a widely used 'dimension reduction' technique, albeit generally at a phenotypic level. It is shown that we can estimate genetic principal components directly through a simple reparameterisation of the usual linear, mixed ...
Kirkpatrick Mark, Meyer Karin
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A simple approach to maximum intractable likelihood estimation [PDF]
, 2013 Approximate Bayesian Computation (ABC) can be viewed as an analytic approximation of an intractable likelihood coupled with an elementary simulation step.
Rubio, Francisco J., Johansen, Adam M.
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Robust Restricted Maximum Likelihood in Mixed Linear Models
Biometrics, 1995 SUMMARY Definitions of robust maximum likelihood (robust ML) and robust restricted maximum likelihood (robust REML) are introduced, and the definitions are applied to data from biological and chemical experiments. A simulation study is undertaken to investigate the asymptotic properties of robust ML and robust REML in small samples and to examine the ...
Welsh, Alan, Richardson, Alice
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Cauchy: Jurnal Matematika Murni dan Aplikasi, 2018 Students are part of the community who have an income. The income of students are pocket money, scholarships, part-time jobs and so forth. They are trying to become trendsetter in get dress and .
Dwi Masrokhah +2 more
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Maximum likelihood estimation of the parameters of a system of simultaneous regression equations [PDF]
, 1988 Procedures for computing the full information maximum likelihood (FIML) estimates of the parameters of a system of simultaneous regression equations have been described by Koopmans, Rubin, and Leipnik, Chernoff and Divinsky, Brown, and Eisenpress ...
James Durbin, Durbin, J.
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A Comparison Between Estimating The Parameters of The Gaussian Process Regression Model Using The Maximum Likelihood and The Restricted Maximum Likelihood Methods [PDF]
مجلة التربية والعلمGaussian process regression models are used as statistical representations of computational models, due to their flexibility in capturing the shape of smooth functions.
Amena ilyas, Younus Al-Taweel
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Warranty Claim Forecasting Based On Weighted Maximum Likelihood Estimation [PDF]
, 2012 Warranty claims reported in recent months might carry more up-to-date information than those reported in earlier months. Using weighted maximum likelihood estimation for estimating model parameters might therefore lead to better performance of warranty ...
Akbarov, Artur +3 more
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Estimating the Economic Returns to Schooling: Restricted Maximum Likelihood Approach [PDF]
Statistika: Statistics and Economy Journal, 2017 The economic returns to schooling is a fundamental parameter of interest in many different areas of economics and public policy. The most common technique for estimating this parameter is based on the assumption that the ‘true’ coefficient of education ...
Adelaide Agyeman, Nicholas Nsowah-Nuamah
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