{"id":"https://openalex.org/W2009148227","doi":"https://doi.org/10.1007/s001860200268","title":"Bayesian analysis of Markov Modulated Bernoulli Processes","display_name":"Bayesian analysis of Markov Modulated Bernoulli Processes","publication_year":2003,"publication_date":"2003-04-01","ids":{"openalex":"https://openalex.org/W2009148227","doi":"https://doi.org/10.1007/s001860200268","mag":"2009148227"},"language":"en","primary_location":{"id":"doi:10.1007/s001860200268","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s001860200268","pdf_url":null,"source":{"id":"https://openalex.org/S126160977","display_name":"Mathematical Methods of Operations Research","issn_l":"1432-2994","issn":["1432-2994","1432-5217"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mathematical Methods of Operations Research (ZOR)","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/A5111947113","display_name":"S\ufffdleyman \ufffdzekici","orcid":null},"institutions":[{"id":"https://openalex.org/I1351752","display_name":"Ko\u00e7 University","ror":"https://ror.org/00jzwgz36","country_code":"TR","type":"education","lineage":["https://openalex.org/I1351752"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"S. \ufffdzekici","raw_affiliation_strings":["Department of Industrial Engineering, Ko\u00e7 University, 80910 Sar\u0131yer-\u0130stanbul, Turkey (e-mail: sozekici@ku.edu.tr), , TR"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Ko\u00e7 University, 80910 Sar\u0131yer-\u0130stanbul, Turkey (e-mail: sozekici@ku.edu.tr), , TR","institution_ids":["https://openalex.org/I1351752"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086232508","display_name":"Refik Soyer","orcid":"https://orcid.org/0000-0002-7854-7837"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Soyer","raw_affiliation_strings":["Department of Management Science, The George Washington University, Washington, DC 20052, USA (e-mail: soyer@gwu.edu), US","Department of Management Science, The George Washington University, Washington, DC 20052, USA (e-mail: soyer@gwu.edu), , US"],"affiliations":[{"raw_affiliation_string":"Department of Management Science, The George Washington University, Washington, DC 20052, USA (e-mail: soyer@gwu.edu), US","institution_ids":["https://openalex.org/I193531525"]},{"raw_affiliation_string":"Department of Management Science, The George Washington University, Washington, DC 20052, USA (e-mail: soyer@gwu.edu), , US","institution_ids":["https://openalex.org/I193531525"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111947113"],"corresponding_institution_ids":["https://openalex.org/I1351752"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":1.3756,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.8430973,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"57","issue":"1","first_page":"125","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9990000128746033,"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/T11941","display_name":"Power System Reliability and Maintenance","score":0.9980999827384949,"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":0.9976999759674072,"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/bernoullis-principle","display_name":"Bernoulli's principle","score":0.7835554480552673},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.726219892501831},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.6781977415084839},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6513708829879761},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5905843377113342},{"id":"https://openalex.org/keywords/bernoulli-process","display_name":"Bernoulli process","score":0.5887454748153687},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5480074286460876},{"id":"https://openalex.org/keywords/bernoulli-distribution","display_name":"Bernoulli distribution","score":0.49577197432518005},{"id":"https://openalex.org/keywords/reliability-theory","display_name":"Reliability theory","score":0.49205321073532104},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4478430151939392},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4239642918109894},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.42040368914604187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25485509634017944},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.25308340787887573},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21241334080696106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21043193340301514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17757606506347656},{"id":"https://openalex.org/keywords/failure-rate","display_name":"Failure rate","score":0.13605982065200806},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.13237923383712769},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11939311027526855}],"concepts":[{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.7835554480552673},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.726219892501831},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6781977415084839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6513708829879761},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5905843377113342},{"id":"https://openalex.org/C23990920","wikidata":"https://www.wikidata.org/wiki/Q518831","display_name":"Bernoulli process","level":3,"score":0.5887454748153687},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5480074286460876},{"id":"https://openalex.org/C27956954","wikidata":"https://www.wikidata.org/wiki/Q391371","display_name":"Bernoulli distribution","level":3,"score":0.49577197432518005},{"id":"https://openalex.org/C201729545","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability theory","level":3,"score":0.49205321073532104},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4478430151939392},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4239642918109894},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.42040368914604187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25485509634017944},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.25308340787887573},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21241334080696106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21043193340301514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17757606506347656},{"id":"https://openalex.org/C163164238","wikidata":"https://www.wikidata.org/wiki/Q2737027","display_name":"Failure rate","level":2,"score":0.13605982065200806},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.13237923383712769},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11939311027526855},{"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s001860200268","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s001860200268","pdf_url":null,"source":{"id":"https://openalex.org/S126160977","display_name":"Mathematical Methods of Operations Research","issn_l":"1432-2994","issn":["1432-2994","1432-5217"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mathematical Methods of Operations Research (ZOR)","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:compst:v:57:y:2003:i:1:p:125-140","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1007/s001860200268","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W187628563","https://openalex.org/W1502876580","https://openalex.org/W1963865502","https://openalex.org/W1966083328","https://openalex.org/W1990997957","https://openalex.org/W1998056101","https://openalex.org/W2023344466","https://openalex.org/W2047615612","https://openalex.org/W2060864642","https://openalex.org/W2083875149","https://openalex.org/W2095053696","https://openalex.org/W2163481385","https://openalex.org/W2331668861","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3198935159","https://openalex.org/W2151706800","https://openalex.org/W4366387587","https://openalex.org/W4324123865","https://openalex.org/W2148766083","https://openalex.org/W4295812917","https://openalex.org/W4287167437","https://openalex.org/W1982788967","https://openalex.org/W3123307718","https://openalex.org/W2186344114"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}