{"id":"https://openalex.org/W2549074523","doi":"https://doi.org/10.1080/03610918.2015.1019001","title":"Bayesian inference and data cloning in the calibration of population projection matrices","display_name":"Bayesian inference and data cloning in the calibration of population projection matrices","publication_year":2015,"publication_date":"2015-12-14","ids":{"openalex":"https://openalex.org/W2549074523","doi":"https://doi.org/10.1080/03610918.2015.1019001","mag":"2549074523"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2015.1019001","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1019001","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/A5065742199","display_name":"Juli\u00e1n de la Horra","orcid":null},"institutions":[{"id":"https://openalex.org/I63634437","display_name":"Universidad Aut\u00f3noma de Madrid","ror":"https://ror.org/01cby8j38","country_code":"ES","type":"education","lineage":["https://openalex.org/I63634437"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juli\u00e1n de la Horra","raw_affiliation_strings":["Universidad Aut\u00f3noma de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Aut\u00f3noma de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I63634437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067951577","display_name":"J. Miguel Mar\u00edn","orcid":"https://orcid.org/0000-0002-6744-6475"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"J. Miguel Mar\u00edn","raw_affiliation_strings":["Universidad Carlos III de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Carlos III de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052960519","display_name":"Mar\u00eda Teresa Rodr\u00edguez Bernal","orcid":"https://orcid.org/0000-0003-0124-8801"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Mar\u00eda Teresa Rodr\u00edguez-Bernal","raw_affiliation_strings":["Universidad Complutense de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Complutense de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067951577"],"corresponding_institution_ids":["https://openalex.org/I50357001"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19208471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"46","issue":"3","first_page":"1669","last_page":"1681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10005","display_name":"Ecology and Vegetation Dynamics Studies","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10005","display_name":"Ecology and Vegetation Dynamics Studies","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11913","display_name":"Animal Ecology and Behavior Studies","score":0.9473000168800354,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13377","display_name":"Ecosystem dynamics and resilience","score":0.9458000063896179,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5915783047676086},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5455238223075867},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5426937937736511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5356518626213074},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5127766728401184},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.47765934467315674},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.45433810353279114},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.45166587829589844},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3771906793117523},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3704347014427185},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3618733286857605},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3530288338661194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3045801520347595}],"concepts":[{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5915783047676086},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5455238223075867},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5426937937736511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5356518626213074},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5127766728401184},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.47765934467315674},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.45433810353279114},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.45166587829589844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3771906793117523},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3704347014427185},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3618733286857605},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3530288338661194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3045801520347595},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2015.1019001","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1019001","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":25,"referenced_works":["https://openalex.org/W68436435","https://openalex.org/W1905960767","https://openalex.org/W1946738347","https://openalex.org/W1964883106","https://openalex.org/W1974834150","https://openalex.org/W1977358486","https://openalex.org/W2008031945","https://openalex.org/W2010362952","https://openalex.org/W2013385108","https://openalex.org/W2028668753","https://openalex.org/W2060085060","https://openalex.org/W2111418884","https://openalex.org/W2118618955","https://openalex.org/W2123156240","https://openalex.org/W2148632537","https://openalex.org/W2159623101","https://openalex.org/W2161991114","https://openalex.org/W2485286041","https://openalex.org/W2614237344","https://openalex.org/W3106043164","https://openalex.org/W4235736413","https://openalex.org/W4246314814","https://openalex.org/W4247545505","https://openalex.org/W4292691288","https://openalex.org/W4300423586"],"related_works":["https://openalex.org/W137830373","https://openalex.org/W3000984192","https://openalex.org/W2103073163","https://openalex.org/W4286952477","https://openalex.org/W4321348134","https://openalex.org/W2372267530","https://openalex.org/W2969189870","https://openalex.org/W4303857162","https://openalex.org/W2965643117","https://openalex.org/W2407375987"],"abstract_inverted_index":{"Discrete":[0],"time":[1],"models":[2],"are":[3,59,63],"used":[4],"in":[5,35],"Ecology":[6],"for":[7,32],"describing":[8],"the":[9,33,37,40],"dynamics":[10,38],"of":[11,39,46],"an":[12],"age-structured":[13],"population.":[14],"They":[15],"can":[16],"be":[17],"introduced":[18],"from":[19,23],"a":[20,24,29,47,67,76],"deterministic":[21],"or":[22],"stochastic":[25,30],"viewpoint.":[26],"We":[27],"analyze":[28],"model":[31],"case":[34],"which":[36,62,74],"population":[41],"is":[42,75],"described":[43],"by":[44,65],"means":[45],"projection":[48],"matrix.":[49],"In":[50],"this":[51],"statistical":[52],"model,":[53],"fertility":[54],"rates":[55,58],"and":[56,70],"survival":[57],"unknown":[60],"parameters":[61],"estimated":[64],"using":[66],"Bayesian":[68],"approach":[69],"also":[71],"data":[72],"cloning,":[73],"simulation-based":[77],"method":[78],"especially":[79],"useful":[80],"with":[81],"complex":[82],"hierarchical":[83],"models.":[84]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}