{"id":"https://openalex.org/W2519954744","doi":null,"title":"Investigating Convergence of Markov Chain Monte Carlo Methods for Bayesian Phylogenetic Inference","display_name":"Investigating Convergence of Markov Chain Monte Carlo Methods for Bayesian Phylogenetic Inference","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2519954744","mag":"2519954744"},"language":"en","primary_location":{"id":"pmh:oai:etd.ohiolink.edu:osu1372173121","doi":null,"is_oa":true,"landing_page_url":"http://rave.ohiolink.edu/etdc/view?acc_num=osu1372173121","pdf_url":"http://rave.ohiolink.edu/etdc/view?acc_num=osu1372173121","source":{"id":"https://openalex.org/S4377196344","display_name":"OhioLink ETD Center (Ohio Library and Information Network)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210155183","host_organization_name":"Ohio Library and Information Network","host_organization_lineage":["https://openalex.org/I4210155183"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://rave.ohiolink.edu/etdc/view?acc_num=osu1372173121","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://rave.ohiolink.edu/etdc/view?acc_num=osu1372173121","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080752072","display_name":"David A. Spade","orcid":"https://orcid.org/0000-0001-6326-8635","observed_orcids":["https://orcid.org/0000-0001-6326-8635"]},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David A. Spade","raw_affiliation_strings":["the Ohio State University"],"raw_orcid":"https://orcid.org/0000-0001-6326-8635","affiliations":[{"raw_affiliation_string":"the Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5080752072"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10012","display_name":"Genetic diversity and population structure","score":0.0010000000474974513,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.000699999975040555,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.9300000071525574},{"id":"https://openalex.org/keywords/convergence-analysis","display_name":"convergence analysis","score":0.7179999947547913},{"id":"https://openalex.org/keywords/bayesian-phylogenetics","display_name":"Bayesian phylogenetics","score":0.9509999752044678},{"id":"https://openalex.org/keywords/phylogenetic-tree-estimation","display_name":"phylogenetic tree estimation","score":0.7310000061988831},{"id":"https://openalex.org/keywords/mcmc-diagnostics","display_name":"MCMC diagnostics","score":0.6980000138282776}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.8262859582901001},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5359742045402527},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5281792879104614},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5238100290298462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4852571487426758},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.4665054678916931},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.45827221870422363},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4558315575122833},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42506328225135803},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.4187818765640259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37987184524536133},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35078203678131104},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3386777341365814},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.33793991804122925},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0967266857624054},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.07124447822570801}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:etd.ohiolink.edu:osu1372173121","doi":null,"is_oa":true,"landing_page_url":"http://rave.ohiolink.edu/etdc/view?acc_num=osu1372173121","pdf_url":"http://rave.ohiolink.edu/etdc/view?acc_num=osu1372173121","source":{"id":"https://openalex.org/S4377196344","display_name":"OhioLink ETD Center (Ohio Library and Information Network)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210155183","host_organization_name":"Ohio Library and Information Network","host_organization_lineage":["https://openalex.org/I4210155183"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://rave.ohiolink.edu/etdc/view?acc_num=osu1372173121","raw_type":"text"},{"id":"mag:2519954744","doi":null,"is_oa":false,"landing_page_url":"http://rave.ohiolink.edu/etdc/view?acc_num=osu1372173121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:etd.ohiolink.edu:osu1372173121","doi":null,"is_oa":true,"landing_page_url":"http://rave.ohiolink.edu/etdc/view?acc_num=osu1372173121","pdf_url":"http://rave.ohiolink.edu/etdc/view?acc_num=osu1372173121","source":{"id":"https://openalex.org/S4377196344","display_name":"OhioLink ETD Center (Ohio Library and Information Network)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210155183","host_organization_name":"Ohio Library and Information Network","host_organization_lineage":["https://openalex.org/I4210155183"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://rave.ohiolink.edu/etdc/view?acc_num=osu1372173121","raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2519954744.pdf","grobid_xml":"https://content.openalex.org/works/W2519954744.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W38889505","https://openalex.org/W181828468","https://openalex.org/W1504702575","https://openalex.org/W1520063096","https://openalex.org/W1600293573","https://openalex.org/W1947611227","https://openalex.org/W1965399019","https://openalex.org/W1978087960","https://openalex.org/W1983002447","https://openalex.org/W1990908957","https://openalex.org/W1995713768","https://openalex.org/W2000597435","https://openalex.org/W2001074797","https://openalex.org/W2008703230","https://openalex.org/W2009596137","https://openalex.org/W2011541958","https://openalex.org/W2017874618","https://openalex.org/W2033900415","https://openalex.org/W2037667459","https://openalex.org/W2043694962","https://openalex.org/W2047000577","https://openalex.org/W2048405441","https://openalex.org/W2056371343","https://openalex.org/W2056760934","https://openalex.org/W2061165576","https://openalex.org/W2062275397","https://openalex.org/W2065461553","https://openalex.org/W2072329064","https://openalex.org/W2082856185","https://openalex.org/W2083875149","https://openalex.org/W2089308938","https://openalex.org/W2093931624","https://openalex.org/W2097506564","https://openalex.org/W2102148372","https://openalex.org/W2102424972","https://openalex.org/W2102862543","https://openalex.org/W2103546861","https://openalex.org/W2106285343","https://openalex.org/W2129343067","https://openalex.org/W2136077443","https://openalex.org/W2146166368","https://openalex.org/W2146764432","https://openalex.org/W2148534890","https://openalex.org/W2157082398","https://openalex.org/W2161444534","https://openalex.org/W2164418313","https://openalex.org/W2168696662","https://openalex.org/W2795630563"],"related_works":["https://openalex.org/W7099784495","https://openalex.org/W1963972906","https://openalex.org/W7221589244","https://openalex.org/W2057293816","https://openalex.org/W2010814032","https://openalex.org/W4287018648","https://openalex.org/W2072329064","https://openalex.org/W7095429197","https://openalex.org/W2183514688","https://openalex.org/W7098145088"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2016-09-23T00:00:00"}