{"id":"https://openalex.org/W7135014774","doi":"https://doi.org/10.1109/icsrs68021.2025.11422089","title":"Linear versus logarithmic proposal updates in Bayesian Markov chain Monte Carlo sampling for failure rate estimation","display_name":"Linear versus logarithmic proposal updates in Bayesian Markov chain Monte Carlo sampling for failure rate estimation","publication_year":2025,"publication_date":"2025-11-26","ids":{"openalex":"https://openalex.org/W7135014774","doi":"https://doi.org/10.1109/icsrs68021.2025.11422089"},"language":"en","primary_location":{"id":"doi:10.1109/icsrs68021.2025.11422089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsrs68021.2025.11422089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on System Reliability and Safety (ICSRS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5128878142","display_name":"G Harish Kaushik","orcid":null},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"G Harish Kaushik","raw_affiliation_strings":["Computing Sciences Tampere University,Tampere,Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing Sciences Tampere University,Tampere,Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059446980","display_name":"Jaakko Peltonen","orcid":"https://orcid.org/0000-0003-3485-8585"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jaakko Peltonen","raw_affiliation_strings":["Computing Sciences Tampere University,Tampere,Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing Sciences Tampere University,Tampere,Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064224829","display_name":"Sampsa Pursiainen","orcid":"https://orcid.org/0000-0002-9131-9070"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Sampsa Pursiainen","raw_affiliation_strings":["Computing Sciences Tampere University,Tampere,Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing Sciences Tampere University,Tampere,Finland","institution_ids":["https://openalex.org/I166825849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166825849"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"435","last_page":"439"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.6026999950408936,"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"}},"topics":[{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.6026999950408936,"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"}},{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.23800000548362732,"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"}},{"id":"https://openalex.org/T12560","display_name":"Nuclear Engineering Thermal-Hydraulics","score":0.051899999380111694,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.788100004196167},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.507099986076355},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.49799999594688416},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.483599990606308},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4641999900341034},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4625999927520752},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4575999975204468},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.45590001344680786},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4474000036716461},{"id":"https://openalex.org/keywords/failure-rate","display_name":"Failure rate","score":0.44690001010894775}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.788100004196167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5551000237464905},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.507099986076355},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.49799999594688416},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.483599990606308},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4641999900341034},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4625999927520752},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4575999975204468},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.45590001344680786},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4474000036716461},{"id":"https://openalex.org/C163164238","wikidata":"https://www.wikidata.org/wiki/Q2737027","display_name":"Failure rate","level":2,"score":0.44690001010894775},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4203999936580658},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.38600000739097595},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.3817000091075897},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.34950000047683716},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3328999876976013},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.3278999924659729},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3255000114440918},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.32190001010894775},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.31839999556541443},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.31459999084472656},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.3131999969482422},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C71983512","wikidata":"https://www.wikidata.org/wiki/Q7915687","display_name":"Variable-order Bayesian network","level":4,"score":0.29490000009536743},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2847999930381775},{"id":"https://openalex.org/C204693719","wikidata":"https://www.wikidata.org/wiki/Q910810","display_name":"Metropolis\u2013Hastings algorithm","level":4,"score":0.2793999910354614},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2775999903678894},{"id":"https://openalex.org/C101112237","wikidata":"https://www.wikidata.org/wiki/Q4874481","display_name":"Bayesian statistics","level":4,"score":0.27459999918937683},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C201729545","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability theory","level":3,"score":0.26179999113082886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2590000033378601},{"id":"https://openalex.org/C513653683","wikidata":"https://www.wikidata.org/wiki/Q12739","display_name":"Nuclear power","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.2533000111579895}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icsrs68021.2025.11422089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsrs68021.2025.11422089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on System Reliability and Safety (ICSRS)","raw_type":"proceedings-article"},{"id":"pmh:oai:trepo.tuni.fi:10024/235564","is_oa":false,"landing_page_url":"https://trepo.tuni.fi/handle/10024/235564","pdf_url":null,"source":{"id":"https://openalex.org/S7407055260","display_name":"Trepo - Institutional Repository of Tampere University","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6405178308486938,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2025640428","https://openalex.org/W2041672093","https://openalex.org/W2069739265","https://openalex.org/W2088523057","https://openalex.org/W2141291629","https://openalex.org/W2993468375","https://openalex.org/W4246416129","https://openalex.org/W4248681815","https://openalex.org/W4249083122"],"related_works":[],"abstract_inverted_index":{"Rigorous":[0],"reliability":[1],"and":[2,26,63,120,154,164,174],"Probabilistic":[3],"Risk":[4],"/":[5,9],"Safety":[6],"Assessment":[7],"(PRA":[8],"PSA)":[10],"of":[11,21,107],"components":[12,50],"in":[13,51,79,85,128,148,158],"complex":[14],"infrastructure":[15],"systems":[16],"is":[17,96],"an":[18],"important":[19],"field":[20],"concern":[22],"for":[23,45,49,92,126,134],"civil":[24],"engineering":[25,176],"related":[27],"disciplines.":[28],"Among":[29],"the":[30,41,105,108,117,135,143,151],"several":[31],"modelling":[32,152],"strategies":[33,125],"available,":[34],"there":[35],"has":[36],"been":[37],"ongoing":[38],"debate":[39],"about":[40],"most":[42],"robust":[43],"techniques":[44],"estimating":[46],"failure":[47,86],"rates":[48],"nuclear":[52,149],"power":[53],"plants":[54],"with":[55],"such":[56],"candidates":[57],"as":[58],"Bayes-EmpiricalBayes":[59],"(BEB),":[60],"Parametric-Robust-Empirical-Bayes":[61],"(PREB)":[62],"Parametric-Empirical-Bayes":[64],"(PEB).":[65],"While":[66,142],"existing":[67],"methods":[68,156],"offer":[69],"some":[70],"solutions,":[71],"they":[72],"also":[73],"present":[74],"notable":[75],"deficiencies":[76],"-":[77],"particularly":[78],"their":[80],"ability":[81],"to":[82,103,168],"manage":[83],"uncertainty":[84],"rate":[87],"estimation.":[88],"One":[89],"promising":[90],"avenue":[91],"addressing":[93],"this":[94,112,159],"limitation":[95],"using":[97],"Markov":[98],"Chain":[99],"Monte":[100],"Carlo":[101],"(MCMC)":[102],"estimate":[104],"hyperpriors":[106],"Bayesian":[109],"model.":[110],"In":[111],"work":[113],"we":[114],"focus":[115],"on":[116],"BEB":[118],"model":[119],"investigate":[121],"different":[122],"MCMC":[123,136],"sampling":[124],"it,":[127],"particular":[129],"comparing":[130],"two":[131],"possible":[132],"scalings":[133],"proposal":[137],"kernel,":[138],"linear":[139],"versus":[140],"logarithmic.":[141],"primary":[144],"motivation":[145],"remains":[146],"grounded":[147],"safety,":[150],"framework":[153],"inference":[155],"discussed":[157],"study":[160],"are":[161,165],"broadly":[162],"applicable":[163],"sufficiently":[166],"general":[167],"be":[169],"transferred":[170],"across":[171],"civil,":[172],"structural,":[173],"mechanical":[175],"domains.":[177]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-13T00:00:00"}