{"id":"https://openalex.org/W2002411240","doi":"https://doi.org/10.1007/bf02741316","title":"Bayesian and non-bayesian analysis of gamma stochastic frontier models by Markov Chain Monte Carlo methods","display_name":"Bayesian and non-bayesian analysis of gamma stochastic frontier models by Markov Chain Monte Carlo methods","publication_year":2005,"publication_date":"2005-12-01","ids":{"openalex":"https://openalex.org/W2002411240","doi":"https://doi.org/10.1007/bf02741316","mag":"2002411240"},"language":"en","primary_location":{"id":"doi:10.1007/bf02741316","is_oa":false,"landing_page_url":"https://doi.org/10.1007/bf02741316","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":"Computational Statistics","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/A5009497889","display_name":"Hideo Kozumi","orcid":null},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideo Kozumi","raw_affiliation_strings":["Graduate School of Business Administration, Kobe University, 657-8501, Kobe, Japan","Graduate School of Business Administration, Kobe University, Kobe Japan,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Business Administration, Kobe University, 657-8501, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"Graduate School of Business Administration, Kobe University, Kobe Japan,","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100630657","display_name":"Xingyuan Zhang","orcid":"https://orcid.org/0000-0001-9965-4490"},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xingyuan Zhang","raw_affiliation_strings":["Faculty of Economics, Okayama University, 700-8530, Okayama, Japan","Faculty of Economics Okayama University Okayama Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Economics, Okayama University, 700-8530, Okayama, Japan","institution_ids":["https://openalex.org/I163770644"]},{"raw_affiliation_string":"Faculty of Economics Okayama University Okayama Japan","institution_ids":["https://openalex.org/I163770644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":null,"fwci":0.3403,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.62041913,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"20","issue":"4","first_page":"575","last_page":"593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9854000210762024,"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"}},"topics":[{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9854000210762024,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9850000143051147,"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/T10007","display_name":"Monetary Policy and Economic Impact","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/2000","display_name":"General Economics, Econometrics and Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.8491268157958984},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5867198705673218},{"id":"https://openalex.org/keywords/metropolis\u2013hastings-algorithm","display_name":"Metropolis\u2013Hastings algorithm","score":0.5740249752998352},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5392929315567017},{"id":"https://openalex.org/keywords/hybrid-monte-carlo","display_name":"Hybrid Monte Carlo","score":0.5287289619445801},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4543229937553406},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4524936378002167},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.43608325719833374},{"id":"https://openalex.org/keywords/monte-carlo-molecular-modeling","display_name":"Monte Carlo molecular modeling","score":0.4112704396247864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3918742537498474},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38145941495895386},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3399151563644409},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20504611730575562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15374720096588135}],"concepts":[{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.8491268157958984},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5867198705673218},{"id":"https://openalex.org/C204693719","wikidata":"https://www.wikidata.org/wiki/Q910810","display_name":"Metropolis\u2013Hastings algorithm","level":4,"score":0.5740249752998352},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5392929315567017},{"id":"https://openalex.org/C13153151","wikidata":"https://www.wikidata.org/wiki/Q1639846","display_name":"Hybrid Monte Carlo","level":4,"score":0.5287289619445801},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4543229937553406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4524936378002167},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.43608325719833374},{"id":"https://openalex.org/C37669827","wikidata":"https://www.wikidata.org/wiki/Q6904703","display_name":"Monte Carlo molecular modeling","level":4,"score":0.4112704396247864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3918742537498474},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38145941495895386},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3399151563644409},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20504611730575562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15374720096588135}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/bf02741316","is_oa":false,"landing_page_url":"https://doi.org/10.1007/bf02741316","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":"Computational Statistics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W18553681","https://openalex.org/W32980360","https://openalex.org/W183008905","https://openalex.org/W1483015670","https://openalex.org/W1496118947","https://openalex.org/W1539133850","https://openalex.org/W1559391968","https://openalex.org/W1580138055","https://openalex.org/W1582614941","https://openalex.org/W1605293371","https://openalex.org/W1959948559","https://openalex.org/W1967543782","https://openalex.org/W1969466749","https://openalex.org/W1983961430","https://openalex.org/W1990892784","https://openalex.org/W1994616650","https://openalex.org/W2000211546","https://openalex.org/W2008205728","https://openalex.org/W2015749074","https://openalex.org/W2033793890","https://openalex.org/W2033834012","https://openalex.org/W2043073960","https://openalex.org/W2049633694","https://openalex.org/W2056317492","https://openalex.org/W2069739265","https://openalex.org/W2072634211","https://openalex.org/W2076452041","https://openalex.org/W2083875149","https://openalex.org/W2089657469","https://openalex.org/W2090692107","https://openalex.org/W2101930763","https://openalex.org/W2104022577","https://openalex.org/W2106983679","https://openalex.org/W2108207895","https://openalex.org/W2119246169","https://openalex.org/W2128981260","https://openalex.org/W2136796925","https://openalex.org/W2145677862","https://openalex.org/W2152977846","https://openalex.org/W2531891978","https://openalex.org/W2615953416","https://openalex.org/W2765842847","https://openalex.org/W2797718173","https://openalex.org/W3037265734","https://openalex.org/W3124784596","https://openalex.org/W4211177544","https://openalex.org/W4237961478","https://openalex.org/W4244038801","https://openalex.org/W4245883374","https://openalex.org/W4249851377","https://openalex.org/W4253934678","https://openalex.org/W4296041488","https://openalex.org/W4302033506","https://openalex.org/W6668080254","https://openalex.org/W6738102647","https://openalex.org/W6837746710","https://openalex.org/W7048738093"],"related_works":["https://openalex.org/W2071668645","https://openalex.org/W4226314133","https://openalex.org/W2914481316","https://openalex.org/W2997752974","https://openalex.org/W2734477693","https://openalex.org/W3125971950","https://openalex.org/W2116700007","https://openalex.org/W1539868720","https://openalex.org/W3098348269","https://openalex.org/W4248057375"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}