Search Results - Open Polar - "Markov Chain Monte Carlo"

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Understanding Past Population Dynamics: Bayesian Coalescent-Based Modeling with Covariates

by Gill, Mandev S., Lemey, Philippe, Bennett, Shannon N., Biek, Roman, Suchard, Marc A.
Published 2016
“... efficient Markov chain Monte Carlo algorithms designed for highly structured Gaussian models. Incorporating...”

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Understanding Past Population Dynamics: Bayesian Coalescent-Based Modeling with Covariates

by Gill, Mandev S., Lemey, Philippe, Bennett, Shannon N., Biek, Roman, Suchard, Marc A.
Published 2016
“... efficient Markov chain Monte Carlo algorithms designed for highly structured Gaussian models. Incorporating...”

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Understanding past population dynamics: Bayesian coalescent-based modeling with covariates

by Gill, Mandev S., Lemey, Philippe, Bennett, Shannon N., Biek, Roman, Suchard, Marc A.
Published in Systematic Biology (2016)
“... efficient Markov chain Monte Carlo algorithms designed for highly structured Gaussian models. Incorporating...”

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Data from: Understanding past population dynamics: Bayesian coalescent-based modeling with covariates

by Gill, Mandev S., Lemey, Philippe, Bennett, Shannon N., Biek, Roman, Suchard, Marc A.
Published 2016
“... distribution, we adapt efficient Markov chain Monte Carlo algorithms designed for highly structured Gaussian...”

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5

Understanding Past Population Dynamics: Bayesian Coalescent-Based Modeling with Covariates

by Gill, Mandev S., Lemey, Philippe, Bennett, Shannon N., Biek, Roman, Suchard, Marc A.
Published in Systematic Biology (2016)
“... distribution, we adapt efficient Markov chain Monte Carlo algorithms designed for highly structured Gaussian...”

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Text
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Data from: Understanding past population dynamics: Bayesian coalescent-based modeling with covariates

by Gill, Mandev S., Lemey, Philippe, Bennett, Shannon N., Biek, Roman, Suchard, Marc A.
Published 2016
“... distribution, we adapt efficient Markov chain Monte Carlo algorithms designed for highly structured Gaussian...”

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Data from: Understanding past population dynamics: Bayesian coalescent-based modeling with covariates

by Gill, Mandev S., Lemey, Philippe, Bennett, Shannon N., Biek, Roman, Suchard, Marc A.
Published 2016
“... distribution, we adapt efficient Markov chain Monte Carlo algorithms designed for highly structured Gaussian...”

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Article in Journal/Newspaper
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8

Data from: Understanding past population dynamics: Bayesian coalescent-based modeling with covariates

by Gill, Mandev S., Lemey, Philippe, Bennett, Shannon N., Biek, Roman, Suchard, Marc A.
Published 2016
“... distribution, we adapt efficient Markov chain Monte Carlo algorithms designed for highly structured Gaussian...”

Get access
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9

Data from: Understanding past population dynamics: Bayesian coalescent-based modeling with covariates

by Gill, Mandev S., Lemey, Philippe, Bennett, Shannon N., Biek, Roman, Suchard, Marc A.
Published 2016
“... distribution, we adapt efficient Markov chain Monte Carlo algorithms designed for highly structured Gaussian...”

Get access

Dataset