{"id":"https://openalex.org/W2612792998","doi":"https://doi.org/10.1080/03610918.2017.1323224","title":"Bayesian tobit quantile regression with penalty","display_name":"Bayesian tobit quantile regression with penalty","publication_year":2017,"publication_date":"2017-05-08","ids":{"openalex":"https://openalex.org/W2612792998","doi":"https://doi.org/10.1080/03610918.2017.1323224","mag":"2612792998"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2017.1323224","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2017.1323224","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081166643","display_name":"Rahim Alhamzawi","orcid":"https://orcid.org/0000-0003-1912-9579"},"institutions":[{"id":"https://openalex.org/I4210126504","display_name":"University of Al-Qadisiyah","ror":"https://ror.org/02ewzwr87","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4210126504"]}],"countries":["IQ"],"is_corresponding":true,"raw_author_name":"Rahim Alhamzawi","raw_affiliation_strings":["Department of Statistics, College of Administration and Economics, University of Al-Qadisiyah, Iraq"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, College of Administration and Economics, University of Al-Qadisiyah, Iraq","institution_ids":["https://openalex.org/I4210126504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064677202","display_name":"Haithem Taha Mohammad Ali","orcid":"https://orcid.org/0000-0001-7821-1850"},"institutions":[{"id":"https://openalex.org/I4210146391","display_name":"Nawroz University","ror":"https://ror.org/04gp75d48","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4210146391"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Haithem Taha Mohammad Ali","raw_affiliation_strings":["College of Computers and Information Technology, Nawroz University, Duhok, Iraq"],"affiliations":[{"raw_affiliation_string":"College of Computers and Information Technology, Nawroz University, Duhok, Iraq","institution_ids":["https://openalex.org/I4210146391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081166643"],"corresponding_institution_ids":["https://openalex.org/I4210126504"],"apc_list":null,"apc_paid":null,"fwci":2.7981,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.92855841,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"47","issue":"6","first_page":"1739","last_page":"1750"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9994000196456909,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9994000196456909,"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":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9968000054359436,"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/tobit-model","display_name":"Tobit model","score":0.9154728055000305},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6344444155693054},{"id":"https://openalex.org/keywords/quantile-regression","display_name":"Quantile regression","score":0.6315738558769226},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.590802013874054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5205972194671631},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5199854969978333},{"id":"https://openalex.org/keywords/deviance-information-criterion","display_name":"Deviance information criterion","score":0.4449802041053772},{"id":"https://openalex.org/keywords/bayesian-linear-regression","display_name":"Bayesian linear regression","score":0.43484047055244446},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.43189537525177},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.396888792514801},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3668515384197235},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3495485782623291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2619527280330658}],"concepts":[{"id":"https://openalex.org/C166866094","wikidata":"https://www.wikidata.org/wiki/Q1307251","display_name":"Tobit model","level":2,"score":0.9154728055000305},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6344444155693054},{"id":"https://openalex.org/C63817138","wikidata":"https://www.wikidata.org/wiki/Q3455889","display_name":"Quantile regression","level":2,"score":0.6315738558769226},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.590802013874054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5205972194671631},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5199854969978333},{"id":"https://openalex.org/C17634605","wikidata":"https://www.wikidata.org/wiki/Q972431","display_name":"Deviance information criterion","level":4,"score":0.4449802041053772},{"id":"https://openalex.org/C37903108","wikidata":"https://www.wikidata.org/wiki/Q4874474","display_name":"Bayesian linear regression","level":4,"score":0.43484047055244446},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.43189537525177},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.396888792514801},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3668515384197235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3495485782623291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2619527280330658}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2017.1323224","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2017.1323224","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1497343179","https://openalex.org/W1565473091","https://openalex.org/W1792720193","https://openalex.org/W1945766733","https://openalex.org/W1955023137","https://openalex.org/W1973798704","https://openalex.org/W1974554987","https://openalex.org/W1975083447","https://openalex.org/W1978938623","https://openalex.org/W1981463702","https://openalex.org/W1982323380","https://openalex.org/W1982652137","https://openalex.org/W1986825443","https://openalex.org/W1995190797","https://openalex.org/W2002036195","https://openalex.org/W2015205870","https://openalex.org/W2017648486","https://openalex.org/W2020023242","https://openalex.org/W2020925091","https://openalex.org/W2026405711","https://openalex.org/W2031242626","https://openalex.org/W2031972378","https://openalex.org/W2032403736","https://openalex.org/W2040579578","https://openalex.org/W2041891835","https://openalex.org/W2045656233","https://openalex.org/W2045829475","https://openalex.org/W2047028564","https://openalex.org/W2050029156","https://openalex.org/W2056687916","https://openalex.org/W2059053591","https://openalex.org/W2060198626","https://openalex.org/W2068582993","https://openalex.org/W2074065710","https://openalex.org/W2075426298","https://openalex.org/W2075745677","https://openalex.org/W2076781095","https://openalex.org/W2079775628","https://openalex.org/W2080081019","https://openalex.org/W2083875149","https://openalex.org/W2091841155","https://openalex.org/W2099396088","https://openalex.org/W2113721701","https://openalex.org/W2119444931","https://openalex.org/W2135046866","https://openalex.org/W2138198368","https://openalex.org/W2143203016","https://openalex.org/W2147534083","https://openalex.org/W2150633978","https://openalex.org/W2161059922","https://openalex.org/W2167239677","https://openalex.org/W2321431898","https://openalex.org/W2327270616"],"related_works":["https://openalex.org/W2618675419","https://openalex.org/W3028055052","https://openalex.org/W2924409995","https://openalex.org/W2577943623","https://openalex.org/W2027308286","https://openalex.org/W2559285600","https://openalex.org/W2378969231","https://openalex.org/W1969957125","https://openalex.org/W1491323266","https://openalex.org/W3124874031"],"abstract_inverted_index":{"Tobit":[0],"quantile":[1],"regression":[2],"(QReg)":[3],"model":[4,50],"provides":[5],"an":[6],"efficient":[7],"way":[8],"of":[9],"coping":[10],"with":[11,65],"left-censored":[12],"data":[13,26],"and":[14,79],"can":[15],"be":[16],"viewed":[17],"as":[18],"a":[19,43,48,54,61,80],"linear":[20],"QReg":[21,41],"model,":[22],"where":[23],"only":[24],"the":[25,28,37,86],"on":[27],"dependent":[29],"variable":[30],"is":[31,74],"incompletely":[32],"observed.":[33],"This":[34],"article":[35],"considers":[36],"regularizer":[38],"in":[39,92],"tobit":[40],"from":[42],"Bayesian":[44,56],"perspective.":[45],"By":[46],"proposing":[47],"hierarchical":[49],"framework,":[51],"we":[52],"consider":[53],"fully":[55,66],"treatment":[57],"that":[58,85],"leads":[59],"to":[60,94],"Gibbs":[62],"sampling":[63],"algorithm":[64],"tractable":[67],"conditional":[68],"posterior":[69],"densities.":[70],"The":[71],"proposed":[72,87],"method":[73,88],"illustrated":[75],"via":[76],"simulation":[77],"studies":[78],"real":[81],"dataset.":[82],"Results":[83],"show":[84],"performs":[89],"very":[90],"well":[91],"comparison":[93],"other":[95],"approaches.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
