{"id":"https://openalex.org/W2048069811","doi":"https://doi.org/10.1080/03610910903171821","title":"Algorithmic Inference of Two-Parameter Gamma Distribution","display_name":"Algorithmic Inference of Two-Parameter Gamma Distribution","publication_year":2009,"publication_date":"2009-09-11","ids":{"openalex":"https://openalex.org/W2048069811","doi":"https://doi.org/10.1080/03610910903171821","mag":"2048069811"},"language":"en","primary_location":{"id":"doi:10.1080/03610910903171821","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910903171821","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-00520670","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057725342","display_name":"Bruno Apolloni","orcid":"https://orcid.org/0000-0002-5666-7336"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"B. Apolloni","raw_affiliation_strings":["Department of Computer Science , University of Milano , Milano , Italy","Department of Computer Science, University of Milano, Milano, Italy#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science , University of Milano , Milano , Italy","institution_ids":["https://openalex.org/I189158943"]},{"raw_affiliation_string":"Department of Computer Science, University of Milano, Milano, Italy#TAB#","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029685754","display_name":"Simone Bassis","orcid":"https://orcid.org/0000-0002-8899-4200"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"S. Bassis","raw_affiliation_strings":["Department of Computer Science , University of Milano , Milano , Italy","Department of Computer Science, University of Milano, Milano, Italy#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science , University of Milano , Milano , Italy","institution_ids":["https://openalex.org/I189158943"]},{"raw_affiliation_string":"Department of Computer Science, University of Milano, Milano, Italy#TAB#","institution_ids":["https://openalex.org/I189158943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029685754"],"corresponding_institution_ids":["https://openalex.org/I189158943"],"apc_list":null,"apc_paid":null,"fwci":1.17,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.80196541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"38","issue":"9","first_page":"1950","last_page":"1968"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9991000294685364,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"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":0.5979759097099304},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5612744688987732},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.538731575012207},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4835631549358368},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46210891008377075},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4545402526855469},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.43541616201400757},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4351060390472412},{"id":"https://openalex.org/keywords/generalized-gamma-distribution","display_name":"Generalized gamma distribution","score":0.4317685663700104},{"id":"https://openalex.org/keywords/gamma-distribution","display_name":"Gamma distribution","score":0.41807591915130615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.382660835981369},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.331842303276062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2984352707862854},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2844550609588623}],"concepts":[{"id":"https://openalex.org/C2779377595","wikidata":"https://www.wikidata.org/wiki/Q21045424","display_name":"Approximate Bayesian computation","level":3,"score":0.5979759097099304},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5612744688987732},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.538731575012207},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4835631549358368},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46210891008377075},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4545402526855469},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.43541616201400757},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4351060390472412},{"id":"https://openalex.org/C42337464","wikidata":"https://www.wikidata.org/wiki/Q5532478","display_name":"Generalized gamma distribution","level":3,"score":0.4317685663700104},{"id":"https://openalex.org/C149717495","wikidata":"https://www.wikidata.org/wiki/Q117806","display_name":"Gamma distribution","level":2,"score":0.41807591915130615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.382660835981369},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.331842303276062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2984352707862854},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2844550609588623},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/03610910903171821","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910903171821","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-00520670v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00520670","pdf_url":null,"source":{"id":"https://openalex.org/S4406922276","display_name":"INRIA a CCSD electronic archive server","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Communications in Statistics - Simulation and Computation, 2009, 38 (09), pp.1950-1968. ⟨10.1080/03610910903171821⟩","raw_type":"Journal articles"},{"id":"pmh:oai:tara.tcd.ie:2262/46785","is_oa":false,"landing_page_url":"http://hdl.handle.net/2262/46785","pdf_url":null,"source":{"id":"https://openalex.org/S4306400387","display_name":"Trinity's Access to Research Output (TARA) (Trinity College Dublin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205274468","host_organization_name":"Trinity College Dublin","host_organization_lineage":["https://openalex.org/I205274468"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:HAL:hal-00520670v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00520670","pdf_url":null,"source":{"id":"https://openalex.org/S4406922276","display_name":"INRIA a CCSD electronic archive server","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Communications in Statistics - Simulation and Computation, 2009, 38 (09), pp.1950-1968. ⟨10.1080/03610910903171821⟩","raw_type":"Journal articles"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W55860441","https://openalex.org/W182194650","https://openalex.org/W603660902","https://openalex.org/W793046645","https://openalex.org/W1485979810","https://openalex.org/W1495929194","https://openalex.org/W1498066347","https://openalex.org/W1503042104","https://openalex.org/W1549493899","https://openalex.org/W1722822609","https://openalex.org/W1988520084","https://openalex.org/W1995565517","https://openalex.org/W1998510234","https://openalex.org/W2010918921","https://openalex.org/W2011646482","https://openalex.org/W2012402158","https://openalex.org/W2016700453","https://openalex.org/W2019642820","https://openalex.org/W2023760340","https://openalex.org/W2033225733","https://openalex.org/W2057049867","https://openalex.org/W2062261977","https://openalex.org/W2069870615","https://openalex.org/W2072911381","https://openalex.org/W2082947523","https://openalex.org/W2084930738","https://openalex.org/W2088786530","https://openalex.org/W2092869993","https://openalex.org/W2097610759","https://openalex.org/W2157440594","https://openalex.org/W2163214339","https://openalex.org/W2204383650","https://openalex.org/W2294604761","https://openalex.org/W2615953416","https://openalex.org/W2800171621","https://openalex.org/W2801914020","https://openalex.org/W3000380866","https://openalex.org/W3011472981","https://openalex.org/W3022295647","https://openalex.org/W3106889297","https://openalex.org/W3125714968","https://openalex.org/W3146145917","https://openalex.org/W3180589099","https://openalex.org/W4211020454","https://openalex.org/W4213324402","https://openalex.org/W4231702424","https://openalex.org/W4244440237","https://openalex.org/W4246529639","https://openalex.org/W4249186015"],"related_works":["https://openalex.org/W4229773611","https://openalex.org/W4256284424","https://openalex.org/W2971192015","https://openalex.org/W4233558325","https://openalex.org/W1991526242","https://openalex.org/W4223609019","https://openalex.org/W2939669598","https://openalex.org/W2146035246","https://openalex.org/W2162520685","https://openalex.org/W3152833092"],"abstract_inverted_index":{"We":[0,64,165],"provide":[1],"an":[2,56],"estimation":[3,92],"procedure":[4],"of":[5,20,29,48,60,93,116,172],"the":[6,12,25,61,94,123,147,151,169,173,196],"two-parameter":[7,95],"Gamma":[8],"distribution":[9,28,97],"based":[10,54],"on":[11,55,183],"Algorithmic":[13],"Inference":[14],"approach.":[15],"As":[16],"a":[17,41,49,161,180,184,190],"key":[18],"feature":[19],"this":[21,37,127],"approach,":[22],"we":[23,39,129],"compute":[24],"joint":[26],"probability":[27,62],"these":[30],"parameters":[31],"without":[32],"assuming":[33],"any":[34],"prior.":[35],"To":[36],"end,":[38],"propose":[40],"numerical":[42],"algorithm":[43],"which":[44,177],"is":[45,154],"often":[46],"beneficial":[47],"highly":[50],"efficient":[51],"speed":[52],"up":[53,182],"approximate":[57],"analytical":[58],"expression":[59],"distribution.":[63],"contrast":[65],"our":[66,132],"interval":[67],"and":[68,77,104,137],"point":[69],"estimates":[70,133],"with":[71],"those":[72],"recently":[73],"obtained":[74],"in":[75,100,143],"Son":[76,80],"Oh":[78,85],"(2006":[79],",":[81,84,86,119],"Y.":[82],"S.":[83],"M.":[87],"(":[88],"2006":[89],").":[90],"Bayesian":[91,158],"gamma":[96],".":[98],"Communications":[99],"Statistics":[101],"\u2013":[102,109],"Simulation":[103],"Computation":[105],"35":[106],":":[107],"285":[108],"293":[110],".[Taylor":[111],"&":[112],"Francis":[113],"Online],":[114],"[Web":[115],"Science":[117],"\u00ae]":[118],"[Google":[120],"Scholar])":[121],"for":[122],"same":[124],"problem.":[125],"From":[126],"benchmark":[128],"realize":[130],"that":[131],"are":[134],"both":[135],"unbiased":[136],"more":[138,141],"accurate,":[139],"albeit":[140],"dispersed,":[142],"some":[144],"cases,":[145],"than":[146],"competitors'":[148],"methods,":[149],"where":[150],"dispersion":[152],"drawback":[153],"notably":[155],"mitigated":[156],"w.r.t.":[157],"methods":[159],"by":[160,195],"greater":[162],"estimate":[163],"decorrelation.":[164],"also":[166],"briefly":[167],"discuss":[168],"theoretical":[170],"novelty":[171],"adopted":[174],"inference":[175],"paradigm":[176],"actually":[178],"represents":[179],"brush":[181],"Fisher":[185],"perspective":[186],"dating":[187],"to":[188],"almost":[189],"century,":[191],"made":[192],"feasible":[193],"today":[194],"available":[197],"computational":[198],"tools.":[199]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}