{"id":"https://openalex.org/W2593884052","doi":"https://doi.org/10.1109/tr.2017.2670142","title":"Reliability Analysis via Non-Gaussian State-Space Models","display_name":"Reliability Analysis via Non-Gaussian State-Space Models","publication_year":2017,"publication_date":"2017-03-11","ids":{"openalex":"https://openalex.org/W2593884052","doi":"https://doi.org/10.1109/tr.2017.2670142","mag":"2593884052"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2017.2670142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2017.2670142","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"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 Transactions on Reliability","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/A5101467894","display_name":"Thiago Rezende dos Santos","orcid":"https://orcid.org/0000-0003-2244-2718"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Thiago Rezende dos Santos","raw_affiliation_strings":["Universidade Federal de Minas Gerais, Belo Horizonte, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110429732","display_name":"Dani Gamerman","orcid":null},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Dani Gamerman","raw_affiliation_strings":["Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100992452","display_name":"Glaura da Concei\u00e7\u00e3o Franco","orcid":null},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Glaura da Conceicao Franco","raw_affiliation_strings":["Universidade Federal de Minas Gerais, Belo Horizonte, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I110200422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101467894"],"corresponding_institution_ids":["https://openalex.org/I110200422"],"apc_list":null,"apc_paid":null,"fwci":2.3743,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.88533835,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"66","issue":"2","first_page":"309","last_page":"318"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9984999895095825,"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/marginal-likelihood","display_name":"Marginal likelihood","score":0.5765116810798645},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.5576152205467224},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5188037753105164},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4924124479293823},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.47101864218711853},{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.4685341417789459},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4650624394416809},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4249022305011749},{"id":"https://openalex.org/keywords/reliability-theory","display_name":"Reliability theory","score":0.41098159551620483},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3969625234603882},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39662790298461914},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3838436007499695},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38072097301483154},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.2850366234779358},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2666464149951935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24099066853523254},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15353751182556152},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1398697793483734}],"concepts":[{"id":"https://openalex.org/C95923904","wikidata":"https://www.wikidata.org/wiki/Q6760420","display_name":"Marginal likelihood","level":3,"score":0.5765116810798645},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.5576152205467224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5188037753105164},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4924124479293823},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.47101864218711853},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.4685341417789459},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4650624394416809},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4249022305011749},{"id":"https://openalex.org/C201729545","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability theory","level":3,"score":0.41098159551620483},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3969625234603882},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39662790298461914},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3838436007499695},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38072097301483154},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2850366234779358},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2666464149951935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24099066853523254},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15353751182556152},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1398697793483734},{"id":"https://openalex.org/C163164238","wikidata":"https://www.wikidata.org/wiki/Q2737027","display_name":"Failure rate","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2017.2670142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2017.2670142","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"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 Transactions on Reliability","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322980","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de Minas Gerais","ror":"https://ror.org/00nc55f03"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W124052719","https://openalex.org/W1580788756","https://openalex.org/W1759037751","https://openalex.org/W1766773058","https://openalex.org/W1860392020","https://openalex.org/W1968364317","https://openalex.org/W1995434702","https://openalex.org/W2021461837","https://openalex.org/W2029668178","https://openalex.org/W2030587663","https://openalex.org/W2033791152","https://openalex.org/W2042296356","https://openalex.org/W2049291474","https://openalex.org/W2052366365","https://openalex.org/W2055418872","https://openalex.org/W2067450978","https://openalex.org/W2080290973","https://openalex.org/W2099063081","https://openalex.org/W2132413579","https://openalex.org/W2144270949","https://openalex.org/W2153242493","https://openalex.org/W2156098358","https://openalex.org/W2157404564","https://openalex.org/W2162501748","https://openalex.org/W2163173400","https://openalex.org/W2167352409","https://openalex.org/W2171720857","https://openalex.org/W2317002898","https://openalex.org/W2324805613","https://openalex.org/W2468546872","https://openalex.org/W2501943795","https://openalex.org/W2529498734","https://openalex.org/W3147894994","https://openalex.org/W4233014035","https://openalex.org/W4293738259","https://openalex.org/W4399523340"],"related_works":["https://openalex.org/W3151622507","https://openalex.org/W2793224446","https://openalex.org/W3017567978","https://openalex.org/W3121718188","https://openalex.org/W2126673675","https://openalex.org/W4287813234","https://openalex.org/W2775002212","https://openalex.org/W2337630740","https://openalex.org/W1674264995","https://openalex.org/W2031118571"],"abstract_inverted_index":{"This":[0,89],"paper":[1],"proposes":[2],"new":[3],"reliability":[4,38,55],"models":[5,29,39,56,79,93,116],"whose":[6],"likelihood":[7,105],"consists":[8],"of":[9,11,26,53,102,110,135,138],"decomposition":[10],"data":[12],"information":[13],"in":[14,45,77,125],"stages":[15,83],"or":[16,73],"times,":[17],"thus":[18],"leading":[19],"to":[20,42],"latent":[21,51],"state":[22],"parameters.":[23],"Alternative":[24],"versions":[25],"some":[27],"well-known":[28],"such":[30,66],"as":[31,67],"piecewise":[32],"exponential,":[33],"proportional":[34],"hazards,":[35],"and":[36,60,96,146],"software":[37],"are":[40,57,80,123],"shown":[41],"be":[43],"included":[44],"our":[46,78],"unifying":[47],"framework.":[48,88],"In":[49,129],"general,":[50],"parameters":[52],"many":[54],"high":[58],"dimensional,":[59],"their":[61],"inference":[62],"requires":[63],"approximating":[64],"methods":[65],"Markov":[68],"chain":[69],"Monte":[70],"Carlo":[71],"(MCMC)":[72],"Laplace.":[74],"Latent":[75],"states":[76],"related":[81],"across":[82],"through":[84],"a":[85],"non-Gaussian":[86,114],"state-space":[87],"feature":[90],"makes":[91],"the":[92,99,103,108,111,118,136,139,144],"mathematically":[94],"tractable":[95],"allows":[97],"for":[98,120,133],"exact":[100],"computation":[101],"marginal":[104],"function,":[106],"despite":[107],"non-Gaussianity":[109],"state.":[112],"Our":[113],"evolution":[115],"circumvent":[117],"need":[119],"approximations,":[121],"which":[122],"required":[124],"similar":[126],"likelihood-based":[127],"approaches.":[128],"addition,":[130],"they":[131],"allow":[132],"reduction":[134],"dimension":[137],"problem.":[140],"Real-life":[141],"examples":[142],"illustrate":[143],"approach":[145],"indicate":[147],"advantages":[148],"over":[149],"other":[150],"existing":[151],"models.":[152]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}