{"id":"https://openalex.org/W2963538516","doi":"https://doi.org/10.1007/s00180-018-0831-x","title":"Approximate Bayesian computation for Lorenz curves from grouped data","display_name":"Approximate Bayesian computation for Lorenz curves from grouped data","publication_year":2018,"publication_date":"2018-08-22","ids":{"openalex":"https://openalex.org/W2963538516","doi":"https://doi.org/10.1007/s00180-018-0831-x","mag":"2963538516"},"language":"en","primary_location":{"id":"doi:10.1007/s00180-018-0831-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-018-0831-x","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/A5061310051","display_name":"Genya Kobayashi","orcid":"https://orcid.org/0000-0002-2665-9183"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Genya Kobayashi","raw_affiliation_strings":["Graduate School of Social Sciences, Chiba University, Yayoi-cho 1-33, Inage-ku, Chiba, 263-8522, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Social Sciences, Chiba University, Yayoi-cho 1-33, Inage-ku, Chiba, 263-8522, Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011987567","display_name":"Kazuhiko Kakamu","orcid":"https://orcid.org/0000-0003-1370-5520"},"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":"Kazuhiko Kakamu","raw_affiliation_strings":["Graduate School of Business Administration, Kobe University, 2-1, Rokkodai, Nada, Kobe, 657-8501, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Business Administration, Kobe University, 2-1, Rokkodai, Nada, Kobe, 657-8501, Japan","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061310051"],"corresponding_institution_ids":["https://openalex.org/I159385669"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":null,"fwci":0.731,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75749712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"34","issue":"1","first_page":"253","last_page":"279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9995999932289124,"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9995999932289124,"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":0.9812999963760376,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9699000120162964,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lorenz-curve","display_name":"Lorenz curve","score":0.7526261806488037},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6380731463432312},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6331028342247009},{"id":"https://openalex.org/keywords/approximate-bayesian-computation","display_name":"Approximate Bayesian computation","score":0.6069817543029785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4496581256389618},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44189101457595825},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.32864516973495483},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3219667673110962},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3037201166152954},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24973857402801514},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10557883977890015},{"id":"https://openalex.org/keywords/inequality","display_name":"Inequality","score":0.07415568828582764},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.06138300895690918}],"concepts":[{"id":"https://openalex.org/C99617461","wikidata":"https://www.wikidata.org/wiki/Q430378","display_name":"Lorenz curve","level":5,"score":0.7526261806488037},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6380731463432312},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6331028342247009},{"id":"https://openalex.org/C2779377595","wikidata":"https://www.wikidata.org/wiki/Q21045424","display_name":"Approximate Bayesian computation","level":3,"score":0.6069817543029785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4496581256389618},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44189101457595825},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.32864516973495483},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3219667673110962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3037201166152954},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24973857402801514},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10557883977890015},{"id":"https://openalex.org/C45555294","wikidata":"https://www.wikidata.org/wiki/Q28113351","display_name":"Inequality","level":2,"score":0.07415568828582764},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.06138300895690918},{"id":"https://openalex.org/C2779206190","wikidata":"https://www.wikidata.org/wiki/Q162455","display_name":"Gini coefficient","level":4,"score":0.0},{"id":"https://openalex.org/C513380476","wikidata":"https://www.wikidata.org/wiki/Q5055020","display_name":"Economic inequality","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00180-018-0831-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-018-0831-x","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"},{"id":"pmh:oai:RePEc:spr:compst:v:34:y:2019:i:1:d:10.1007_s00180-018-0831-x","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s00180-018-0831-x","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":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W2606050","https://openalex.org/W71201577","https://openalex.org/W112870199","https://openalex.org/W167568891","https://openalex.org/W198358519","https://openalex.org/W1498017815","https://openalex.org/W1527470051","https://openalex.org/W1540375479","https://openalex.org/W1571494542","https://openalex.org/W1594863551","https://openalex.org/W1632356912","https://openalex.org/W1672463736","https://openalex.org/W1882169997","https://openalex.org/W1965175390","https://openalex.org/W1972102024","https://openalex.org/W1975262022","https://openalex.org/W1976553488","https://openalex.org/W1982365059","https://openalex.org/W1984208669","https://openalex.org/W1990410872","https://openalex.org/W1994665315","https://openalex.org/W1994813019","https://openalex.org/W1994864111","https://openalex.org/W2000186700","https://openalex.org/W2003140084","https://openalex.org/W2010409537","https://openalex.org/W2020696594","https://openalex.org/W2038180646","https://openalex.org/W2043664536","https://openalex.org/W2045973738","https://openalex.org/W2051823273","https://openalex.org/W2063294345","https://openalex.org/W2067392831","https://openalex.org/W2078757336","https://openalex.org/W2086894158","https://openalex.org/W2088077074","https://openalex.org/W2088885746","https://openalex.org/W2093333411","https://openalex.org/W2095291523","https://openalex.org/W2116416291","https://openalex.org/W2135267747","https://openalex.org/W2139812092","https://openalex.org/W2151729750","https://openalex.org/W2152246075","https://openalex.org/W2169349514","https://openalex.org/W2196329906","https://openalex.org/W2197501346","https://openalex.org/W2264467078","https://openalex.org/W2324359847","https://openalex.org/W2502017989","https://openalex.org/W2504767107","https://openalex.org/W2593311200","https://openalex.org/W2618266392","https://openalex.org/W3098057351","https://openalex.org/W3124497799","https://openalex.org/W4234324212","https://openalex.org/W4239826655","https://openalex.org/W4285719527","https://openalex.org/W4376999580"],"related_works":["https://openalex.org/W3122349959","https://openalex.org/W2024840040","https://openalex.org/W2088077074","https://openalex.org/W2418715633","https://openalex.org/W402216306","https://openalex.org/W167568891","https://openalex.org/W2049631577","https://openalex.org/W3142957083","https://openalex.org/W1605286718","https://openalex.org/W4297145487"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}