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Assessing model adequacy for Bayesian Skyline plots using posterior predictive simulation

Assessing model adequacy for Bayesian Skyline plots using posterior predictive simulation

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2694381318

Assessing model adequacy for Bayesian Skyline plots using posterior predictive simulation

About this item

Full title

Assessing model adequacy for Bayesian Skyline plots using posterior predictive simulation

Publisher

United States: Public Library of Science

Journal title

PloS one, 2022-07, Vol.17 (7), p.e0269438-e0269438

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Bayesian skyline plots (BSPs) are a useful tool for making inferences about demographic history. For example, researchers typically apply BSPs to test hypotheses regarding how climate changes have influenced intraspecific genetic diversity over time. Like any method, BSP has assumptions that may be violated in some empirical systems (e.g., the abse...

Alternative Titles

Full title

Assessing model adequacy for Bayesian Skyline plots using posterior predictive simulation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2694381318

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2694381318

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0269438

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