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On the Validity of Evolutionary Models with Site-Specific Parameters

Evolutionary models that make use of site-specific parameters have recently been criticized on the grounds that parameter estimates obtained under such models can be unreliable and lack theoretical guarantees of convergence. We present a simulation study providing empirical evidence that a simple ve...

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Detalles Bibliográficos
Autores principales: Scheffler, Konrad, Murrell, Ben, Kosakovsky Pond, Sergei L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3983186/
https://www.ncbi.nlm.nih.gov/pubmed/24722425
http://dx.doi.org/10.1371/journal.pone.0094534
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author Scheffler, Konrad
Murrell, Ben
Kosakovsky Pond, Sergei L.
author_facet Scheffler, Konrad
Murrell, Ben
Kosakovsky Pond, Sergei L.
author_sort Scheffler, Konrad
collection PubMed
description Evolutionary models that make use of site-specific parameters have recently been criticized on the grounds that parameter estimates obtained under such models can be unreliable and lack theoretical guarantees of convergence. We present a simulation study providing empirical evidence that a simple version of the models in question does exhibit sensible convergence behavior and that additional taxa, despite not being independent of each other, lead to improved parameter estimates. Although it would be desirable to have theoretical guarantees of this, we argue that such guarantees would not be sufficient to justify the use of these models in practice. Instead, we emphasize the importance of taking the variance of parameter estimates into account rather than blindly trusting point estimates – this is standardly done by using the models to construct statistical hypothesis tests, which are then validated empirically via simulation studies.
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spelling pubmed-39831862014-04-15 On the Validity of Evolutionary Models with Site-Specific Parameters Scheffler, Konrad Murrell, Ben Kosakovsky Pond, Sergei L. PLoS One Research Article Evolutionary models that make use of site-specific parameters have recently been criticized on the grounds that parameter estimates obtained under such models can be unreliable and lack theoretical guarantees of convergence. We present a simulation study providing empirical evidence that a simple version of the models in question does exhibit sensible convergence behavior and that additional taxa, despite not being independent of each other, lead to improved parameter estimates. Although it would be desirable to have theoretical guarantees of this, we argue that such guarantees would not be sufficient to justify the use of these models in practice. Instead, we emphasize the importance of taking the variance of parameter estimates into account rather than blindly trusting point estimates – this is standardly done by using the models to construct statistical hypothesis tests, which are then validated empirically via simulation studies. Public Library of Science 2014-04-10 /pmc/articles/PMC3983186/ /pubmed/24722425 http://dx.doi.org/10.1371/journal.pone.0094534 Text en © 2014 Scheffler et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Scheffler, Konrad
Murrell, Ben
Kosakovsky Pond, Sergei L.
On the Validity of Evolutionary Models with Site-Specific Parameters
title On the Validity of Evolutionary Models with Site-Specific Parameters
title_full On the Validity of Evolutionary Models with Site-Specific Parameters
title_fullStr On the Validity of Evolutionary Models with Site-Specific Parameters
title_full_unstemmed On the Validity of Evolutionary Models with Site-Specific Parameters
title_short On the Validity of Evolutionary Models with Site-Specific Parameters
title_sort on the validity of evolutionary models with site-specific parameters
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3983186/
https://www.ncbi.nlm.nih.gov/pubmed/24722425
http://dx.doi.org/10.1371/journal.pone.0094534
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