{"id":"https://openalex.org/W2925350721","doi":"https://doi.org/10.1080/03610918.2019.1593454","title":"Nonparametric Bayesian optimal designs for exponential regression model","display_name":"Nonparametric Bayesian optimal designs for exponential regression model","publication_year":2019,"publication_date":"2019-03-28","ids":{"openalex":"https://openalex.org/W2925350721","doi":"https://doi.org/10.1080/03610918.2019.1593454","mag":"2925350721"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2019.1593454","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1593454","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5048432976","display_name":"Manizheh Goudarzi","orcid":"https://orcid.org/0000-0003-0037-7396"},"institutions":[{"id":"https://openalex.org/I1187138","display_name":"Razi University","ror":"https://ror.org/02ynb0474","country_code":"IR","type":"education","lineage":["https://openalex.org/I1187138"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Manizheh Goudarzi","raw_affiliation_strings":["Department of Statistics, Razi University, Kermanshah, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Razi University, Kermanshah, Iran","institution_ids":["https://openalex.org/I1187138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043374758","display_name":"Habib Jafari","orcid":"https://orcid.org/0000-0001-5191-2796"},"institutions":[{"id":"https://openalex.org/I1187138","display_name":"Razi University","ror":"https://ror.org/02ynb0474","country_code":"IR","type":"education","lineage":["https://openalex.org/I1187138"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Habib Jafari","raw_affiliation_strings":["Department of Statistics, Razi University, Kermanshah, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Razi University, Kermanshah, Iran","institution_ids":["https://openalex.org/I1187138"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068967039","display_name":"Soleiman Khazaei","orcid":"https://orcid.org/0000-0003-2537-9232"},"institutions":[{"id":"https://openalex.org/I1187138","display_name":"Razi University","ror":"https://ror.org/02ynb0474","country_code":"IR","type":"education","lineage":["https://openalex.org/I1187138"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Soleiman Khazaei","raw_affiliation_strings":["Department of Statistics, Razi University, Kermanshah, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Razi University, Kermanshah, Iran","institution_ids":["https://openalex.org/I1187138"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048432976"],"corresponding_institution_ids":["https://openalex.org/I1187138"],"apc_list":null,"apc_paid":null,"fwci":0.1977,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55201996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"50","issue":"6","first_page":"1809","last_page":"1819"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9851999878883362,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dirichlet-process","display_name":"Dirichlet process","score":0.6968386173248291},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.689753532409668},{"id":"https://openalex.org/keywords/bayesian-linear-regression","display_name":"Bayesian linear regression","score":0.6736165881156921},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6059914827346802},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5728296637535095},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5485233068466187},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5284863710403442},{"id":"https://openalex.org/keywords/bayesian-statistics","display_name":"Bayesian statistics","score":0.49371227622032166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4663704037666321},{"id":"https://openalex.org/keywords/nonparametric-regression","display_name":"Nonparametric regression","score":0.45406457781791687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4430355727672577},{"id":"https://openalex.org/keywords/exponential-family","display_name":"Exponential family","score":0.4335041046142578},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3811187744140625},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3585914373397827},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.32396674156188965}],"concepts":[{"id":"https://openalex.org/C2781280628","wikidata":"https://www.wikidata.org/wiki/Q5280766","display_name":"Dirichlet process","level":3,"score":0.6968386173248291},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.689753532409668},{"id":"https://openalex.org/C37903108","wikidata":"https://www.wikidata.org/wiki/Q4874474","display_name":"Bayesian linear regression","level":4,"score":0.6736165881156921},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6059914827346802},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5728296637535095},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5485233068466187},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5284863710403442},{"id":"https://openalex.org/C101112237","wikidata":"https://www.wikidata.org/wiki/Q4874481","display_name":"Bayesian statistics","level":4,"score":0.49371227622032166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4663704037666321},{"id":"https://openalex.org/C74127309","wikidata":"https://www.wikidata.org/wiki/Q3455886","display_name":"Nonparametric regression","level":3,"score":0.45406457781791687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4430355727672577},{"id":"https://openalex.org/C55974624","wikidata":"https://www.wikidata.org/wiki/Q1188504","display_name":"Exponential family","level":2,"score":0.4335041046142578},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3811187744140625},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3585914373397827},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.32396674156188965},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2019.1593454","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1593454","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1923722","https://openalex.org/W1966405376","https://openalex.org/W1972309752","https://openalex.org/W1988520084","https://openalex.org/W1995219511","https://openalex.org/W2004987685","https://openalex.org/W2009970426","https://openalex.org/W2010132066","https://openalex.org/W2013187255","https://openalex.org/W2017351261","https://openalex.org/W2037809771","https://openalex.org/W2042217732","https://openalex.org/W2046997730","https://openalex.org/W2049861059","https://openalex.org/W2058247645","https://openalex.org/W2069350303","https://openalex.org/W2069429561","https://openalex.org/W2074289693","https://openalex.org/W2082382318","https://openalex.org/W2137226750","https://openalex.org/W2141940710","https://openalex.org/W2150184692","https://openalex.org/W2151967501","https://openalex.org/W2155112403","https://openalex.org/W2170073534","https://openalex.org/W2183060819","https://openalex.org/W2309810681","https://openalex.org/W2492359674","https://openalex.org/W2567173526","https://openalex.org/W2974222084","https://openalex.org/W3098355515","https://openalex.org/W3099022549","https://openalex.org/W3100822788","https://openalex.org/W3106253201","https://openalex.org/W3106278435","https://openalex.org/W3120537494","https://openalex.org/W4230822461","https://openalex.org/W4231278255","https://openalex.org/W4302413401","https://openalex.org/W4388320121"],"related_works":["https://openalex.org/W1846979593","https://openalex.org/W655255521","https://openalex.org/W3085442668","https://openalex.org/W2155216128","https://openalex.org/W4297026079","https://openalex.org/W2925350721","https://openalex.org/W4255269110","https://openalex.org/W1484024982","https://openalex.org/W3209634034","https://openalex.org/W2049758625"],"abstract_inverted_index":{"Constructing":[0],"the":[1,7,14,23,62],"Bayesian":[2,27,41,72],"optimal":[3,78],"design":[4,79],"depends":[5],"on":[6,61],"choice":[8],"of":[9,22,64],"a":[10,25,39,59,70],"prior":[11,49,60],"distribution":[12,50,65],"for":[13],"unknown":[15],"parameter.":[16],"Lacking":[17],"informative":[18],"or":[19],"historical":[20],"knowledge":[21],"parameter,":[24],"parametric":[26],"approach":[28,42,73],"cannot":[29],"be":[30,44],"expected":[31],"in":[32,46],"complex":[33],"statistical":[34],"problems.":[35],"In":[36,67],"this":[37,68],"regard,":[38],"nonparametric":[40],"can":[43],"used,":[45],"which":[47],"random":[48],"is":[51,56,74,83],"considered.":[52],"The":[53],"Dirichlet":[54],"process":[55],"employed":[57],"as":[58],"space":[63],"functions.":[66],"paper,":[69],"non-parametric":[71],"incorporated":[75],"into":[76],"an":[77,86],"criterion.":[80],"This":[81],"method":[82],"illustrated":[84],"by":[85],"example.":[87]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
