Assessing model adequacy for Bayesian Skyline plots using posterior predictive simulation
Assessing model adequacy for Bayesian Skyline plots using posterior predictive simulation
About this item
Full title
Author / Creator
Publisher
United States: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
United States: Public Library of Science
Subjects
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
Authors, Artists and Contributors
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