{"id":"https://openalex.org/W3100708494","doi":"https://doi.org/10.1109/tcbb.2020.3039490","title":"Bayesian Inference of Stochastic Dynamic Models Using Early-Rejection Methods Based on Sequential Stochastic Simulations","display_name":"Bayesian Inference of Stochastic Dynamic Models Using Early-Rejection Methods Based on Sequential Stochastic Simulations","publication_year":2020,"publication_date":"2020-11-20","ids":{"openalex":"https://openalex.org/W3100708494","doi":"https://doi.org/10.1109/tcbb.2020.3039490","mag":"3100708494","pmid":"https://pubmed.ncbi.nlm.nih.gov/33216717"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2020.3039490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2020.3039490","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019857707","display_name":"Hu Zhang","orcid":"https://orcid.org/0000-0002-3281-4661"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Zhang","raw_affiliation_strings":["School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080827633","display_name":"Jingsong Chen","orcid":"https://orcid.org/0000-0002-3152-8030"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingsong Chen","raw_affiliation_strings":["School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039097797","display_name":"Tianhai Tian","orcid":"https://orcid.org/0000-0001-6191-0209"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tianhai Tian","raw_affiliation_strings":["School of Mathematical sciences, Monash University, Clayton, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0001-6191-0209","affiliations":[{"raw_affiliation_string":"School of Mathematical sciences, Monash University, Clayton, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1627,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.50183032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":"3","first_page":"1484","last_page":"1494"},"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/T10044","display_name":"Protein Structure and Dynamics","score":0.9930999875068665,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9909999966621399,"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/inference","display_name":"Inference","score":0.7090224623680115},{"id":"https://openalex.org/keywords/stochastic-differential-equation","display_name":"Stochastic differential equation","score":0.6619324684143066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6166182160377502},{"id":"https://openalex.org/keywords/stochastic-modelling","display_name":"Stochastic modelling","score":0.5918750762939453},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.5620858669281006},{"id":"https://openalex.org/keywords/stochastic-simulation","display_name":"Stochastic simulation","score":0.5410685539245605},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.523349940776825},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.46503230929374695},{"id":"https://openalex.org/keywords/continuous-time-stochastic-process","display_name":"Continuous-time stochastic process","score":0.45537054538726807},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4155268669128418},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.37155407667160034},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33802443742752075},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.30664098262786865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2955886125564575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1417587697505951},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11309194564819336}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7090224623680115},{"id":"https://openalex.org/C51955184","wikidata":"https://www.wikidata.org/wiki/Q1545585","display_name":"Stochastic differential equation","level":2,"score":0.6619324684143066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6166182160377502},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.5918750762939453},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.5620858669281006},{"id":"https://openalex.org/C25915931","wikidata":"https://www.wikidata.org/wiki/Q4180825","display_name":"Stochastic simulation","level":2,"score":0.5410685539245605},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.523349940776825},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.46503230929374695},{"id":"https://openalex.org/C158535547","wikidata":"https://www.wikidata.org/wiki/Q5165437","display_name":"Continuous-time stochastic process","level":3,"score":0.45537054538726807},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4155268669128418},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.37155407667160034},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33802443742752075},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.30664098262786865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2955886125564575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1417587697505951},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11309194564819336},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2020.3039490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2020.3039490","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:33216717","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33216717","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":"IEEE/ACM transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2928867624","display_name":null,"funder_award_id":"2012094","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G353917467","display_name":null,"funder_award_id":"11571368","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1963906834","https://openalex.org/W1971722701","https://openalex.org/W1974475129","https://openalex.org/W1983431486","https://openalex.org/W1984429906","https://openalex.org/W1989227183","https://openalex.org/W1991327390","https://openalex.org/W2003003919","https://openalex.org/W2020684750","https://openalex.org/W2030550396","https://openalex.org/W2032616735","https://openalex.org/W2042770989","https://openalex.org/W2044278781","https://openalex.org/W2045973738","https://openalex.org/W2047632785","https://openalex.org/W2060705109","https://openalex.org/W2062029454","https://openalex.org/W2073307618","https://openalex.org/W2082850612","https://openalex.org/W2083687991","https://openalex.org/W2088020133","https://openalex.org/W2093470850","https://openalex.org/W2095588912","https://openalex.org/W2103660236","https://openalex.org/W2104004040","https://openalex.org/W2106074866","https://openalex.org/W2112794562","https://openalex.org/W2119902605","https://openalex.org/W2119986464","https://openalex.org/W2120013225","https://openalex.org/W2122028584","https://openalex.org/W2122708083","https://openalex.org/W2126351705","https://openalex.org/W2127281696","https://openalex.org/W2136453810","https://openalex.org/W2138163236","https://openalex.org/W2140217512","https://openalex.org/W2140484213","https://openalex.org/W2147028231","https://openalex.org/W2151729750","https://openalex.org/W2152246075","https://openalex.org/W2155418451","https://openalex.org/W2160803964","https://openalex.org/W2161301127","https://openalex.org/W2165603655","https://openalex.org/W2198863405","https://openalex.org/W2303875941","https://openalex.org/W2345694874","https://openalex.org/W2500539065","https://openalex.org/W2511261572","https://openalex.org/W2511482533","https://openalex.org/W2513014850","https://openalex.org/W2513473844","https://openalex.org/W2706448119","https://openalex.org/W2757234574","https://openalex.org/W2900732216","https://openalex.org/W2905450522","https://openalex.org/W2911248615","https://openalex.org/W2950122445","https://openalex.org/W2975024646","https://openalex.org/W2987739270","https://openalex.org/W2988948129","https://openalex.org/W2998917483","https://openalex.org/W3005127469","https://openalex.org/W4248681815"],"related_works":["https://openalex.org/W2888652631","https://openalex.org/W2042280983","https://openalex.org/W171914860","https://openalex.org/W4234195898","https://openalex.org/W1995427843","https://openalex.org/W2026456043","https://openalex.org/W2595984260","https://openalex.org/W2026576019","https://openalex.org/W2321888438","https://openalex.org/W1981354971"],"abstract_inverted_index":{"Stochastic":[0],"modelling":[1],"is":[2,26],"an":[3],"important":[4],"method":[5,51,166],"to":[6,33,69,88,102,125,137,150],"investigate":[7],"the":[8,20,34,103,108,113,127,139,152,157,163,171,174],"functions":[9],"of":[10,16,64,75,80,95,110,141,156,176],"noise":[11],"in":[12,92,170],"a":[13,28,48,61,77,93,117,123,132],"wide":[14],"range":[15],"biological":[17],"systems.":[18],"However,":[19],"parameter":[21,84],"inference":[22,72,175],"for":[23,39,82,173],"stochastic":[24,40,55,65,133,177],"models":[25,147],"still":[27],"challenging":[29],"problem":[30],"partially":[31],"due":[32],"large":[35,62,78],"computing":[36],"time":[37],"required":[38,68],"simulations.":[41,56],"To":[42],"address":[43],"this":[44],"issue,":[45],"we":[46,86],"propose":[47,87,122],"novel":[49],"early-rejection":[50,165],"by":[52],"using":[53],"sequential":[54],"We":[57,121],"first":[58],"show":[59],"that":[60],"number":[63,79,94],"simulations":[66,81,91,111],"are":[67,148],"obtain":[70],"reliable":[71],"results.":[73],"Instead":[74],"generating":[76],"each":[83],"sample,":[85],"generate":[89],"these":[90],"stages.":[96],"The":[97],"simulation":[98],"process":[99],"will":[100],"go":[101],"next":[104],"stage":[105,115],"only":[106],"if":[107],"accuracy":[109,155],"at":[112],"current":[114],"satisfies":[116],"given":[118],"error":[119,128],"criterion.":[120],"formula":[124],"determine":[126],"criterion":[129],"and":[130,154],"use":[131],"differential":[134],"equation":[135],"model":[136],"examine":[138],"effects":[140],"different":[142],"criteria.":[143],"Three":[144],"biochemical":[145],"network":[146],"used":[149],"evaluate":[151],"efficiency":[153,172],"proposed":[158,164],"method.":[159],"Numerical":[160],"results":[161],"suggest":[162],"achieves":[167],"substantial":[168],"improvement":[169],"models.":[178]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}