{"id":"https://openalex.org/W2004514718","doi":"https://doi.org/10.1186/1471-2105-14-85","title":"Make the most of your samples: Bayes factor estimators for high-dimensional models of sequence evolution","display_name":"Make the most of your samples: Bayes factor estimators for high-dimensional models of sequence evolution","publication_year":2013,"publication_date":"2013-03-06","ids":{"openalex":"https://openalex.org/W2004514718","doi":"https://doi.org/10.1186/1471-2105-14-85","mag":"2004514718","pmid":"https://pubmed.ncbi.nlm.nih.gov/23497171"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-14-85","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-85","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-14-85","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-14-85","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056792309","display_name":"Guy Baele","orcid":"https://orcid.org/0000-0002-1915-7732"},"institutions":[{"id":"https://openalex.org/I24156275","display_name":"Rega Institute for Medical Research","ror":"https://ror.org/03w5j8p12","country_code":"BE","type":"facility","lineage":["https://openalex.org/I24156275"]},{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Guy Baele","raw_affiliation_strings":["Department of Microbiology and Immunology, Rega Institute, KU Leuven, Leuven, Belgium. guy.baele@rega.kuleuven.be","Department of Microbiology and Immunology, Rega Institute, KU Leuven, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Microbiology and Immunology, Rega Institute, KU Leuven, Leuven, Belgium. guy.baele@rega.kuleuven.be","institution_ids":["https://openalex.org/I24156275","https://openalex.org/I99464096"]},{"raw_affiliation_string":"Department of Microbiology and Immunology, Rega Institute, KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I24156275","https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039280845","display_name":"Philippe Lemey","orcid":"https://orcid.org/0000-0003-2826-5353"},"institutions":[{"id":"https://openalex.org/I24156275","display_name":"Rega Institute for Medical Research","ror":"https://ror.org/03w5j8p12","country_code":"BE","type":"facility","lineage":["https://openalex.org/I24156275"]},{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Philippe Lemey","raw_affiliation_strings":["Department of Microbiology and Immunology, Rega Institute, KU Leuven, Kapucijnen-voer 33 blok I bus 7001, B-3000 Leuven, Belgium","Department of Microbiology and Immunology, Rega Institute, KU Leuven, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Microbiology and Immunology, Rega Institute, KU Leuven, Kapucijnen-voer 33 blok I bus 7001, B-3000 Leuven, Belgium","institution_ids":["https://openalex.org/I24156275"]},{"raw_affiliation_string":"Department of Microbiology and Immunology, Rega Institute, KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I24156275","https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041323870","display_name":"Stijn Vansteelandt","orcid":"https://orcid.org/0000-0002-4207-8733"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Stijn Vansteelandt","raw_affiliation_strings":["Department of Applied Mathematics and Computer Science, Ghent University, Krijgslaan 281 S9, B-9000 Ghent, Belgium","Department of Applied Mathematics and Computer Science, Ghent University, Ghent, Belgium#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics and Computer Science, Ghent University, Krijgslaan 281 S9, B-9000 Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"Department of Applied Mathematics and Computer Science, Ghent University, Ghent, Belgium#TAB#","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":16.0587,"has_fulltext":true,"cited_by_count":122,"citation_normalized_percentile":{"value":0.99138061,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"14","issue":"1","first_page":"85","last_page":"85"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11354","display_name":"Evolution and Paleontology Studies","score":0.46459999680519104,"subfield":{"id":"https://openalex.org/subfields/1911","display_name":"Paleontology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11354","display_name":"Evolution and Paleontology Studies","score":0.46459999680519104,"subfield":{"id":"https://openalex.org/subfields/1911","display_name":"Paleontology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.365200012922287,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10955","display_name":"Paleontology and Evolutionary Biology","score":0.030899999663233757,"subfield":{"id":"https://openalex.org/subfields/1911","display_name":"Paleontology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayes-factor","display_name":"Bayes factor","score":0.7889919877052307},{"id":"https://openalex.org/keywords/marginal-likelihood","display_name":"Marginal likelihood","score":0.7211036086082458},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.6322011947631836},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.60638028383255},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5489048957824707},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5056931972503662},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4931418299674988},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4213048815727234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.386519193649292},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3828572928905487},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.378961980342865},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3652835488319397},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3211580514907837}],"concepts":[{"id":"https://openalex.org/C142291917","wikidata":"https://www.wikidata.org/wiki/Q4165283","display_name":"Bayes factor","level":4,"score":0.7889919877052307},{"id":"https://openalex.org/C95923904","wikidata":"https://www.wikidata.org/wiki/Q6760420","display_name":"Marginal likelihood","level":3,"score":0.7211036086082458},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.6322011947631836},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.60638028383255},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5489048957824707},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5056931972503662},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4931418299674988},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4213048815727234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.386519193649292},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3828572928905487},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.378961980342865},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3652835488319397},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3211580514907837},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010802","descriptor_name":"Phylogeny","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010802","descriptor_name":"Phylogeny","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010802","descriptor_name":"Phylogeny","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011544","descriptor_name":"Pseudogenes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011544","descriptor_name":"Pseudogenes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011544","descriptor_name":"Pseudogenes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019143","descriptor_name":"Evolution, Molecular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019143","descriptor_name":"Evolution, Molecular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019143","descriptor_name":"Evolution, Molecular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020459","descriptor_name":"Genes, rRNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020459","descriptor_name":"Genes, rRNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020459","descriptor_name":"Genes, rRNA","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1186/1471-2105-14-85","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-85","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-14-85","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:23497171","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23497171","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/417343","is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/417343","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:archive.ugent.be:4241365","is_oa":true,"landing_page_url":"https://biblio.ugent.be/publication/4241365","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 1471-2105","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:europepmc.org:2651870","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3651733","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/627927","is_oa":true,"landing_page_url":"http://www.biomedcentral.com/1471-2105/14/85","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, vol. 14 (85), Art.No. ARTN 85, (1-18)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-14-85","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-85","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-14-85","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1821230694","display_name":"Preparedness, Prediction and Prevention of Emerging Zoonotic Viruses with Pandemic Potential using Multidisciplinary Approaches","funder_award_id":"278433","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3624964804","display_name":null,"funder_award_id":"260864","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3829048491","display_name":null,"funder_award_id":"FP7/2007-2013","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4828599797","display_name":null,"funder_award_id":"P06/03","funder_id":"https://openalex.org/F4320322603","funder_display_name":"Universiteit Gent"},{"id":"https://openalex.org/G5593277320","display_name":null,"funder_award_id":"2007-2013","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5702163051","display_name":null,"funder_award_id":"FP7/2007","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320309855","display_name":"National Evolutionary Synthesis Center","ror":"https://ror.org/001ykb961"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320322603","display_name":"Universiteit Gent","ror":"https://ror.org/00cv9y106"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2004514718.pdf","grobid_xml":"https://content.openalex.org/works/W2004514718.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1638753340","https://openalex.org/W1975968782","https://openalex.org/W1980032585","https://openalex.org/W1983002447","https://openalex.org/W1983368215","https://openalex.org/W1996356638","https://openalex.org/W2007890023","https://openalex.org/W2013164703","https://openalex.org/W2024315245","https://openalex.org/W2026551295","https://openalex.org/W2027255954","https://openalex.org/W2042171121","https://openalex.org/W2043114724","https://openalex.org/W2051254500","https://openalex.org/W2082240576","https://openalex.org/W2088120817","https://openalex.org/W2094206246","https://openalex.org/W2097175338","https://openalex.org/W2098538101","https://openalex.org/W2098998255","https://openalex.org/W2099727964","https://openalex.org/W2100381682","https://openalex.org/W2106750393","https://openalex.org/W2108087670","https://openalex.org/W2118048521","https://openalex.org/W2130362098","https://openalex.org/W2131668255","https://openalex.org/W2144083783","https://openalex.org/W2147201983","https://openalex.org/W2147307434","https://openalex.org/W2147660889","https://openalex.org/W2147729699","https://openalex.org/W2157451851","https://openalex.org/W2168736508","https://openalex.org/W2171142493","https://openalex.org/W4211177544","https://openalex.org/W4233815609"],"related_works":["https://openalex.org/W3034774545","https://openalex.org/W4390542592","https://openalex.org/W2083677154","https://openalex.org/W4287269571","https://openalex.org/W2188650561","https://openalex.org/W3137735170","https://openalex.org/W3104584085","https://openalex.org/W2825391699","https://openalex.org/W2801810851","https://openalex.org/W2472306680"],"abstract_inverted_index":{"BACKGROUND:":[0],"Accurate":[1],"model":[2,19,196,373],"comparison":[3],"requires":[4,292,378],"extensive":[5],"computation":[6,201],"times,":[7],"especially":[8],"for":[9,38,108,169,225,248,265,375],"parameter-rich":[10],"models":[11,178,267,377],"of":[12,27,33,93,155,212,222,260,303,334,349,370],"sequence":[13],"evolution.":[14],"In":[15],"the":[16,25,31,60,82,102,135,156,193,204,213,231,258,276,300,304,310,316,335,343,347],"Bayesian":[17],"framework,":[18],"selection":[20],"is":[21],"typically":[22],"performed":[23],"through":[24],"evaluation":[26],"a":[28,126,147,271,286],"Bayes":[29,84,110,149,173,227,249,306,318],"factor,":[30],"ratio":[32],"two":[34,130,279],"marginal":[35,47,74,141,262,389],"likelihoods":[36],"(one":[37],"each":[39,72,92,139],"model).":[40],"Recently":[41],"introduced":[42,158],"techniques":[43],"to":[44,86,124,137,165,190,207,274,298,309,357],"estimate":[45],"(log)":[46,305,317],"likelihoods,":[48],"such":[49,172],"as":[50,115,117,179,236,238],"path":[51,105,128,233,277,322],"sampling":[52,106,160,224,234,323,326],"and":[53,162,324],"stepping-stone":[54,159,223,325],"sampling,":[55],"offer":[56],"increased":[57,67,200],"accuracy":[58,205],"over":[59,257],"traditional":[61],"harmonic":[62,336],"mean":[63,337],"estimator":[64,151],"at":[65],"an":[66,118,153,180,239],"computational":[68,294,381],"cost.":[69],"Most":[70],"often,":[71],"model's":[73,140],"likelihood":[75,142,263,390],"will":[76],"be":[77],"estimated":[78,331],"individually,":[79],"which":[80,352],"leads":[81],"resulting":[83],"factor":[85,111,150,228,250,307],"suffer":[87],"from":[88,329],"errors":[89],"associated":[90],"with":[91,175],"these":[94],"independent":[95],"estimation":[96,112,251,369],"processes.":[97],"RESULTS:":[98],"We":[99,217,313],"here":[100],"assess":[101],"original":[103,232,311],"'model-switch'":[104],"approach":[107,235,247],"direct":[109,127,226],"in":[113,195,296,372,385],"phylogenetics,":[114],"well":[116,237],"extension":[119,240],"that":[120,185,219,241,285,315,342,366],"uses":[121],"more":[122,209,243,380],"samples,":[123],"construct":[125],"between":[129,278],"competing":[131,148,280],"models,":[132,281,351],"thereby":[133],"eliminating":[134],"need":[136],"calculate":[138],"independently.":[143],"Further,":[144],"we":[145,183,282,353,364],"provide":[146,283],"using":[152,321,332],"adaptation":[154,221],"recently":[157],"algorithm":[161],"set":[163],"out":[164],"determine":[166,275],"appropriate":[167],"settings":[168],"accurately":[170],"calculating":[171],"factors,":[174],"context-dependent":[176],"evolutionary":[177,214],"example.":[181],"While":[182],"show":[184,218,314,354],"modest":[186],"efforts":[187,295],"are":[188],"required":[189],"roughly":[191],"identify":[192],"increase":[194],"fit,":[197],"only":[198],"drastically":[199,328],"times":[202],"ensure":[203],"needed":[206],"detect":[208],"subtle":[210],"details":[211],"process.":[215],"CONCLUSIONS:":[216],"our":[220,362],"calculation":[229],"outperforms":[230],"exploits":[242],"samples.":[244],"Our":[245],"proposed":[246],"also":[252],"has":[253],"preferable":[254],"statistical":[255],"properties":[256],"use":[259],"individual":[261],"estimates":[264],"both":[266],"under":[268],"comparison.":[269],"Assuming":[270],"sigmoid":[272,289],"function":[273],"evidence":[284],"single":[287],"well-chosen":[288],"shape":[290],"value":[291,302],"less":[293],"order":[297],"approximate":[299],"true":[301],"compared":[308],"approach.":[312],"factors":[319],"calculated":[320],"differ":[327],"those":[330],"either":[333],"estimators,":[338],"supporting":[339],"earlier":[340],"claims":[341],"latter":[344],"systematically":[345],"overestimate":[346],"performance":[348],"high-dimensional":[350,376],"can":[355],"lead":[356],"erroneous":[358],"conclusions.":[359],"Based":[360],"on":[361,388],"results,":[363],"argue":[365],"highly":[367],"accurate":[368],"differences":[371],"fit":[374],"much":[379],"effort":[382],"than":[383],"suggested":[384],"recent":[386],"studies":[387],"estimation.":[391]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
