{"id":"https://openalex.org/W4310092575","doi":"https://doi.org/10.1371/journal.pcbi.1010734","title":"Efficient inference and identifiability analysis for differential equation models with random parameters","display_name":"Efficient inference and identifiability analysis for differential equation models with random parameters","publication_year":2022,"publication_date":"2022-11-28","ids":{"openalex":"https://openalex.org/W4310092575","doi":"https://doi.org/10.1371/journal.pcbi.1010734","pmid":"https://pubmed.ncbi.nlm.nih.gov/36441811"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1010734","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010734","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1371/journal.pcbi.1010734","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006197836","display_name":"Alexander P. Browning","orcid":"https://orcid.org/0000-0002-8753-1538"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]},{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["AU","GB"],"is_corresponding":false,"raw_author_name":"Alexander P. Browning","raw_affiliation_strings":["Mathematical Institute, University of Oxford, Oxford, United Kingdom","QUT Centre for Data Science, Queensland University of Technology, Brisbane, Australia","School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0002-8753-1538","affiliations":[{"raw_affiliation_string":"Mathematical Institute, University of Oxford, Oxford, United Kingdom","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"QUT Centre for Data Science, Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]},{"raw_affiliation_string":"School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070517866","display_name":"Christopher Drovandi","orcid":"https://orcid.org/0000-0001-9222-8763"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Christopher Drovandi","raw_affiliation_strings":["QUT Centre for Data Science, Queensland University of Technology, Brisbane, Australia","School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9222-8763","affiliations":[{"raw_affiliation_string":"QUT Centre for Data Science, Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]},{"raw_affiliation_string":"School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007130769","display_name":"Ian Turner","orcid":"https://orcid.org/0000-0003-2794-3968"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ian W. Turner","raw_affiliation_strings":["School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050645790","display_name":"Adrianne L. Jenner","orcid":"https://orcid.org/0000-0001-9103-7092"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Adrianne L. Jenner","raw_affiliation_strings":["QUT Centre for Data Science, Queensland University of Technology, Brisbane, Australia","School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"QUT Centre for Data Science, Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]},{"raw_affiliation_string":"School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060813398","display_name":"Matthew J. Simpson","orcid":"https://orcid.org/0000-0001-6254-313X"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Matthew J. Simpson","raw_affiliation_strings":["QUT Centre for Data Science, Queensland University of Technology, Brisbane, Australia","School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0001-6254-313X","affiliations":[{"raw_affiliation_string":"QUT Centre for Data Science, Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]},{"raw_affiliation_string":"School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060813398"],"corresponding_institution_ids":["https://openalex.org/I160993911"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":1.0416,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.75534072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"18","issue":"11","first_page":"e1010734","last_page":"e1010734"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9997000098228455,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9749000072479248,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/identifiability","display_name":"Identifiability","score":0.800362765789032},{"id":"https://openalex.org/keywords/frequentist-inference","display_name":"Frequentist inference","score":0.6642136573791504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5620706081390381},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5563809871673584},{"id":"https://openalex.org/keywords/bayes-factor","display_name":"Bayes factor","score":0.5433065295219421},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5222162008285522},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.5202642679214478},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.5178220868110657},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4855937361717224},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.47603467106819153},{"id":"https://openalex.org/keywords/random-effects-model","display_name":"Random effects model","score":0.47350388765335083},{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.46285027265548706},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4452395439147949},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.3629048466682434},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3352775275707245},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32727640867233276},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3180140256881714},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2564390301704407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22117191553115845}],"concepts":[{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.800362765789032},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.6642136573791504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5620706081390381},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5563809871673584},{"id":"https://openalex.org/C142291917","wikidata":"https://www.wikidata.org/wiki/Q4165283","display_name":"Bayes factor","level":4,"score":0.5433065295219421},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5222162008285522},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.5202642679214478},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.5178220868110657},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4855937361717224},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.47603467106819153},{"id":"https://openalex.org/C168743327","wikidata":"https://www.wikidata.org/wiki/Q1826427","display_name":"Random effects model","level":3,"score":0.47350388765335083},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.46285027265548706},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4452395439147949},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.3629048466682434},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3352775275707245},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32727640867233276},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3180140256881714},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2564390301704407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22117191553115845},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.0}],"mesh":[{"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":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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}],"locations_count":5,"locations":[{"id":"doi:10.1371/journal.pcbi.1010734","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010734","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:36441811","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36441811","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":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:RePEc:plo:pcbi00:1010734","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010734","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:3dbda7d33ea34bcba3a288d0150d50b0","is_oa":true,"landing_page_url":"https://doaj.org/article/3dbda7d33ea34bcba3a288d0150d50b0","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 18, Iss 11, p e1010734 (2022)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9731444","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9731444","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1010734","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1010734","pdf_url":null,"source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1180907040","display_name":null,"funder_award_id":"DP200100177","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G3372272549","display_name":null,"funder_award_id":"FT210100260","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1881146567","https://openalex.org/W1967809830","https://openalex.org/W1984106009","https://openalex.org/W1989466762","https://openalex.org/W1991238279","https://openalex.org/W1996418705","https://openalex.org/W2002044281","https://openalex.org/W2013041444","https://openalex.org/W2020102996","https://openalex.org/W2033783472","https://openalex.org/W2044394043","https://openalex.org/W2075307211","https://openalex.org/W2079407256","https://openalex.org/W2081970839","https://openalex.org/W2084998586","https://openalex.org/W2090142805","https://openalex.org/W2093470850","https://openalex.org/W2097851712","https://openalex.org/W2102787760","https://openalex.org/W2117681103","https://openalex.org/W2121793131","https://openalex.org/W2124822779","https://openalex.org/W2132997840","https://openalex.org/W2135565823","https://openalex.org/W2138375970","https://openalex.org/W2146081698","https://openalex.org/W2156541178","https://openalex.org/W2164343005","https://openalex.org/W2168648059","https://openalex.org/W2171280873","https://openalex.org/W2500539065","https://openalex.org/W2568869761","https://openalex.org/W2619381903","https://openalex.org/W2706448119","https://openalex.org/W2800980964","https://openalex.org/W2807618727","https://openalex.org/W2910801096","https://openalex.org/W2949890765","https://openalex.org/W2969823538","https://openalex.org/W2972541079","https://openalex.org/W3010485695","https://openalex.org/W3041494167","https://openalex.org/W3043831218","https://openalex.org/W3094914793","https://openalex.org/W3098527589","https://openalex.org/W3108243860","https://openalex.org/W3112752205","https://openalex.org/W3159440343","https://openalex.org/W3189838849","https://openalex.org/W3212795794","https://openalex.org/W3214944849","https://openalex.org/W4206081035","https://openalex.org/W4206834508","https://openalex.org/W4207085243","https://openalex.org/W4210255091","https://openalex.org/W4226096213","https://openalex.org/W4226165463","https://openalex.org/W4226461517","https://openalex.org/W4237997615","https://openalex.org/W4248681815","https://openalex.org/W4281488134"],"related_works":["https://openalex.org/W4221107656","https://openalex.org/W4287210717","https://openalex.org/W2991615686","https://openalex.org/W4297513322","https://openalex.org/W4294769481","https://openalex.org/W4288711847","https://openalex.org/W2128377750","https://openalex.org/W2246747646","https://openalex.org/W2185343599","https://openalex.org/W2033558953"],"abstract_inverted_index":{"Heterogeneity":[0],"is":[1,15,89,97],"a":[2,27,56,106,114,132,158,169],"dominant":[3],"factor":[4],"in":[5,31,48],"the":[6,38,145,189],"behaviour":[7],"of":[8,29,40,69,140,148,164,180,188,191],"many":[9,173],"biological":[10,24,75,194],"processes.":[11],"Despite":[12],"this,":[13],"it":[14,96],"common":[16],"for":[17,36,64],"mathematical":[18],"and":[19,66,113,137],"statistical":[20,146],"analyses":[21],"to":[22,82,135,144,162],"ignore":[23],"heterogeneity":[25,45,76,192],"as":[26],"source":[28],"variability":[30,47],"experimental":[32],"data.":[33,154,195],"Therefore,":[34],"methods":[35],"exploring":[37],"identifiability":[39,67,102,138],"models":[41,72,165,183],"that":[42,73,79,142,166],"explicitly":[43],"incorporate":[44],"through":[46,77],"model":[49,149],"parameters":[50,78,150],"are":[51],"relatively":[52],"underdeveloped.":[53],"We":[54,176],"develop":[55],"new":[57],"likelihood-based":[58],"framework,":[59],"based":[60,90,109,117],"on":[61,91,110,118],"moment":[62],"matching,":[63],"inference":[65,136],"analysis":[68,103,139,163,179],"differential":[70],"equation":[71],"capture":[74],"vary":[80],"according":[81],"probability":[83],"distributions.":[84],"As":[85],"our":[86,128],"novel":[87],"method":[88,129],"an":[92],"approximate":[93],"likelihood":[94],"function,":[95],"highly":[98],"flexible;":[99],"we":[100,126],"demonstrate":[101,127,177],"using":[104],"both":[105],"frequentist":[107],"approach":[108,116,156],"profile":[111],"likelihood,":[112],"Bayesian":[115],"Markov-chain":[119],"Monte":[120],"Carlo.":[121],"Through":[122],"three":[123],"case":[124],"studies,":[125],"by":[130],"providing":[131],"didactic":[133],"guide":[134],"hyperparameters":[141],"relate":[143],"moments":[147],"from":[151,193],"independent":[152],"observed":[153],"Our":[155],"has":[157],"computational":[159],"cost":[160],"comparable":[161],"neglect":[167],"heterogeneity,":[168],"significant":[170],"improvement":[171],"over":[172],"existing":[174],"alternatives.":[175],"how":[178],"random":[181],"parameter":[182],"can":[184],"aid":[185],"better":[186],"understanding":[187],"sources":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}