{"id":"https://openalex.org/W4401073176","doi":"https://doi.org/10.3390/computation12080154","title":"Bayesian Approach to Stochastic Estimation of Population Survival Curves in Chile Using ABC Techniques and Its Impact over Social Structures","display_name":"Bayesian Approach to Stochastic Estimation of Population Survival Curves in Chile Using ABC Techniques and Its Impact over Social Structures","publication_year":2024,"publication_date":"2024-07-29","ids":{"openalex":"https://openalex.org/W4401073176","doi":"https://doi.org/10.3390/computation12080154"},"language":"en","primary_location":{"id":"doi:10.3390/computation12080154","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation12080154","pdf_url":"https://www.mdpi.com/2079-3197/12/8/154/pdf?version=1722595777","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2079-3197/12/8/154/pdf?version=1722595777","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084313968","display_name":"Rolando Rubilar-Torrealba","orcid":"https://orcid.org/0000-0003-3025-1946"},"institutions":[{"id":"https://openalex.org/I75778554","display_name":"Federico Santa Mar\u00eda Technical University","ror":"https://ror.org/05510vn56","country_code":"CL","type":"education","lineage":["https://openalex.org/I75778554"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Rolando Rubilar-Torrealba","raw_affiliation_strings":["Departamento de Industrias, Universidad T\u00e9cnica Federico Santa Mar\u00eda, Valpara\u00edso 2090123, Chile"],"affiliations":[{"raw_affiliation_string":"Departamento de Industrias, Universidad T\u00e9cnica Federico Santa Mar\u00eda, Valpara\u00edso 2090123, Chile","institution_ids":["https://openalex.org/I75778554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025483373","display_name":"Karime Chahu\u00e1n-Jim\u00e9nez","orcid":"https://orcid.org/0000-0003-0749-3808"},"institutions":[{"id":"https://openalex.org/I79274474","display_name":"University of Valpara\u00edso","ror":"https://ror.org/00h9jrb69","country_code":"CL","type":"education","lineage":["https://openalex.org/I79274474"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Karime Chahu\u00e1n-Jim\u00e9nez","raw_affiliation_strings":["Escuela de Auditor\u00eda, Centro de Investigaci\u00f3n en Negocios y Gesti\u00f3n Empresarial, Universidad de Valpara\u00edso, Valpara\u00edso 2361891, Chile"],"affiliations":[{"raw_affiliation_string":"Escuela de Auditor\u00eda, Centro de Investigaci\u00f3n en Negocios y Gesti\u00f3n Empresarial, Universidad de Valpara\u00edso, Valpara\u00edso 2361891, Chile","institution_ids":["https://openalex.org/I79274474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027240280","display_name":"Hanns de la Fuente\u2010Mella","orcid":"https://orcid.org/0000-0003-2564-8770"},"institutions":[{"id":"https://openalex.org/I130474213","display_name":"Pontificia Universidad Cat\u00f3lica de Valpara\u00edso","ror":"https://ror.org/02cafbr77","country_code":"CL","type":"education","lineage":["https://openalex.org/I130474213"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Hanns de la Fuente-Mella","raw_affiliation_strings":["Instituto de Estad\u00edstica, Facultad de Ciencias, Pontificia Universidad Cat\u00f3lica de Valpara\u00edso, Valpara\u00edso 2340031, Chile"],"affiliations":[{"raw_affiliation_string":"Instituto de Estad\u00edstica, Facultad de Ciencias, Pontificia Universidad Cat\u00f3lica de Valpara\u00edso, Valpara\u00edso 2340031, Chile","institution_ids":["https://openalex.org/I130474213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074095995","display_name":"Claudio El\u00f3rtegui-G\u00f3mez","orcid":"https://orcid.org/0000-0002-0768-2134"},"institutions":[{"id":"https://openalex.org/I130474213","display_name":"Pontificia Universidad Cat\u00f3lica de Valpara\u00edso","ror":"https://ror.org/02cafbr77","country_code":"CL","type":"education","lineage":["https://openalex.org/I130474213"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Claudio El\u00f3rtegui-G\u00f3mez","raw_affiliation_strings":["Escuela de Periodismo, Facultad de Ciencias Econ\u00f3micas y Administrativas, Pontificia Universidad Cat\u00f3lica de Valpara\u00edso, Valpara\u00edso 2373223, Chile"],"affiliations":[{"raw_affiliation_string":"Escuela de Periodismo, Facultad de Ciencias Econ\u00f3micas y Administrativas, Pontificia Universidad Cat\u00f3lica de Valpara\u00edso, Valpara\u00edso 2373223, Chile","institution_ids":["https://openalex.org/I130474213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025483373"],"corresponding_institution_ids":["https://openalex.org/I79274474"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20722518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"8","first_page":"154","last_page":"154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12011","display_name":"Insurance, Mortality, Demography, Risk Management","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12011","display_name":"Insurance, Mortality, Demography, Risk Management","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9936000108718872,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/approximate-bayesian-computation","display_name":"Approximate Bayesian computation","score":0.8244627714157104},{"id":"https://openalex.org/keywords/life-expectancy","display_name":"Life expectancy","score":0.7573338747024536},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6712132096290588},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5942325592041016},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5517749190330505},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5412715077400208},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5360228419303894},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5027203559875488},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4228162467479706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4134165644645691},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3907832205295563},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.2676653563976288},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17552897334098816},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.11821538209915161},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10996872186660767}],"concepts":[{"id":"https://openalex.org/C2779377595","wikidata":"https://www.wikidata.org/wiki/Q21045424","display_name":"Approximate Bayesian computation","level":3,"score":0.8244627714157104},{"id":"https://openalex.org/C133925201","wikidata":"https://www.wikidata.org/wiki/Q188419","display_name":"Life expectancy","level":3,"score":0.7573338747024536},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6712132096290588},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5942325592041016},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5517749190330505},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5412715077400208},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5360228419303894},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5027203559875488},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4228162467479706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4134165644645691},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3907832205295563},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.2676653563976288},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17552897334098816},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.11821538209915161},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10996872186660767},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/computation12080154","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation12080154","pdf_url":"https://www.mdpi.com/2079-3197/12/8/154/pdf?version=1722595777","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3a74df0c66644aae8990a979e5d88d52","is_oa":true,"landing_page_url":"https://doaj.org/article/3a74df0c66644aae8990a979e5d88d52","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":"Computation, Vol 12, Iss 8, p 154 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/computation12080154","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computation12080154","pdf_url":"https://www.mdpi.com/2079-3197/12/8/154/pdf?version=1722595777","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4401073176.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1972551937","https://openalex.org/W1979033703","https://openalex.org/W2014500469","https://openalex.org/W2021548504","https://openalex.org/W2021581080","https://openalex.org/W2042819424","https://openalex.org/W2045593113","https://openalex.org/W2045801812","https://openalex.org/W2045973738","https://openalex.org/W2047059579","https://openalex.org/W2048509028","https://openalex.org/W2051904880","https://openalex.org/W2056665261","https://openalex.org/W2067392831","https://openalex.org/W2071552786","https://openalex.org/W2077269078","https://openalex.org/W2085045433","https://openalex.org/W2096617164","https://openalex.org/W2100738051","https://openalex.org/W2130847454","https://openalex.org/W2151729750","https://openalex.org/W2151813549","https://openalex.org/W2152246075","https://openalex.org/W2298475504","https://openalex.org/W2516838512","https://openalex.org/W2946699921","https://openalex.org/W2978005552","https://openalex.org/W2986945432","https://openalex.org/W3028801054","https://openalex.org/W3084327348","https://openalex.org/W3112140182","https://openalex.org/W3126883404","https://openalex.org/W3128782210","https://openalex.org/W3134230402","https://openalex.org/W3156919873","https://openalex.org/W3158234893","https://openalex.org/W4205263116","https://openalex.org/W4280572508","https://openalex.org/W4280574252","https://openalex.org/W4306292306","https://openalex.org/W4308767233","https://openalex.org/W4379053840","https://openalex.org/W4380997344","https://openalex.org/W4386704753","https://openalex.org/W4390636009","https://openalex.org/W6674439237"],"related_works":["https://openalex.org/W16271281","https://openalex.org/W1985846739","https://openalex.org/W40019356","https://openalex.org/W2073743814","https://openalex.org/W2146620998","https://openalex.org/W2733224243","https://openalex.org/W2406455777","https://openalex.org/W3013519900","https://openalex.org/W2262146987","https://openalex.org/W2226294016"],"abstract_inverted_index":{"In":[0],"Chile":[1],"and":[2,24,149,173,179],"worldwide,":[3],"life":[4,38,42],"expectancy":[5,39],"has":[6],"consistently":[7],"increased":[8],"over":[9],"the":[10,15,26,80,84,95,112,116,127,132,136,139,151,158,177,185],"past":[11],"six":[12],"decades.":[13],"Thus,":[14],"purpose":[16],"of":[17,67,83,142,161,181,187],"this":[18,88,143],"study":[19],"was":[20,91,121],"to":[21,36,55,64,78,93,105,123,165,167],"identify,":[22],"measure,":[23],"estimate":[25,79,94],"population":[27,152],"mortality":[28,32,96,153],"ratios":[29,97],"in":[30,71,98,111,135,155,163,184],"Chile,":[31,99,156],"estimates":[33],"are":[34],"used":[35,77],"calculate":[37],"when":[40,114],"constructing":[41],"tables.":[43],"The":[44,107],"Bayesian":[45,50,72],"approach,":[46],"specifically":[47],"through":[48],"Approximate":[49],"Computation":[51],"(ABC)":[52],"is":[53,145],"employed":[54],"optimize":[56],"parameter":[57],"selection":[58,160],"for":[59,126,131,176],"these":[60],"calculations.":[61],"ABC":[62,90],"corresponds":[63],"a":[65,169],"class":[66],"computational":[68],"methods":[69],"rooted":[70],"statistics":[73],"that":[74,146],"could":[75],"be":[76],"posterior":[81],"distributions":[82],"model":[85],"parameters.":[86],"For":[87],"research,":[89],"applied":[92],"using":[100],"information":[101],"available":[102],"from":[103],"2004":[104],"2021.":[106],"results":[108,113],"showed":[109],"heterogeneity":[110],"selecting":[115],"best":[117],"model.":[118],"Additionally,":[119],"it":[120],"possible":[122],"generate":[124],"projections":[125],"next":[128],"10":[129],"years":[130],"series":[133],"analysed":[134],"research.":[137],"Finally,":[138],"main":[140],"contribution":[141],"research":[144],"we":[147],"measured":[148],"estimated":[150],"rates":[154],"defining":[157],"optimal":[159],"parameters,":[162],"order":[164],"contribute":[166],"creating":[168],"link":[170],"between":[171],"social":[172,188],"technical":[174],"sciences":[175],"advancement":[178],"implementation":[180],"current":[182],"knowledge":[183],"field":[186],"structures.":[189]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
