{"id":"https://openalex.org/W2244563950","doi":"https://doi.org/10.1007/s11222-016-9681-y","title":"Restricted Indian buffet processes","display_name":"Restricted Indian buffet processes","publication_year":2016,"publication_date":"2016-07-15","ids":{"openalex":"https://openalex.org/W2244563950","doi":"https://doi.org/10.1007/s11222-016-9681-y","mag":"2244563950"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-016-9681-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-016-9681-y","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"Statistics and Computing","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/A5038771285","display_name":"Finale Doshi\u2010Velez","orcid":"https://orcid.org/0000-0003-2886-3898"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Finale Doshi-Velez","raw_affiliation_strings":["Harvard Paulson School, 29 Oxford Street, Cambridge, MA, 02138, UK"],"affiliations":[{"raw_affiliation_string":"Harvard Paulson School, 29 Oxford Street, Cambridge, MA, 02138, UK","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090272445","display_name":"Sinead A. Williamson","orcid":"https://orcid.org/0000-0002-0572-0045"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sinead A. Williamson","raw_affiliation_strings":["McCombs School of Business, University of Texas at Austin, 2110 Speedway, Austin, TX, 78705, USA"],"affiliations":[{"raw_affiliation_string":"McCombs School of Business, University of Texas at Austin, 2110 Speedway, Austin, TX, 78705, USA","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090272445"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":null,"fwci":1.7738,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88776174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"27","issue":"5","first_page":"1205","last_page":"1223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9998000264167786,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9902999997138977,"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9771999716758728,"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/inference","display_name":"Inference","score":0.6749014258384705},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.6525052785873413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5453900098800659},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.4960208833217621},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.4913918077945709},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47095662355422974},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4478074014186859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42818740010261536},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3812270164489746},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3777356743812561},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35036104917526245},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33864912390708923},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14785149693489075},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.14447742700576782}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6749014258384705},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6525052785873413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5453900098800659},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.4960208833217621},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.4913918077945709},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47095662355422974},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4478074014186859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42818740010261536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3812270164489746},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3777356743812561},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35036104917526245},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33864912390708923},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14785149693489075},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.14447742700576782},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11222-016-9681-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-016-9681-y","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"Statistics and Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2911232610","display_name":null,"funder_award_id":"LORELEI HR0011-15-2-0022","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G3998228007","display_name":null,"funder_award_id":"1447721","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W72335511","https://openalex.org/W263845233","https://openalex.org/W346430303","https://openalex.org/W1491018170","https://openalex.org/W1517266559","https://openalex.org/W1529851927","https://openalex.org/W1562951830","https://openalex.org/W1783767608","https://openalex.org/W1807780152","https://openalex.org/W1968552545","https://openalex.org/W1970124627","https://openalex.org/W1978939595","https://openalex.org/W1986243229","https://openalex.org/W1987532879","https://openalex.org/W1993233733","https://openalex.org/W2016748357","https://openalex.org/W2050019102","https://openalex.org/W2054864979","https://openalex.org/W2075925812","https://openalex.org/W2087309226","https://openalex.org/W2101998432","https://openalex.org/W2103660761","https://openalex.org/W2104827998","https://openalex.org/W2109614047","https://openalex.org/W2115976142","https://openalex.org/W2118127869","https://openalex.org/W2120340025","https://openalex.org/W2126658427","https://openalex.org/W2133471459","https://openalex.org/W2140433132","https://openalex.org/W2141658583","https://openalex.org/W2148215528","https://openalex.org/W2154099718","https://openalex.org/W2158535911","https://openalex.org/W2160407462","https://openalex.org/W2161628378","https://openalex.org/W2216511711","https://openalex.org/W2950216422","https://openalex.org/W2962942617","https://openalex.org/W2964302399","https://openalex.org/W3102036341","https://openalex.org/W4253541753","https://openalex.org/W4301232792"],"related_works":["https://openalex.org/W2151689585","https://openalex.org/W2380816257","https://openalex.org/W3087071515","https://openalex.org/W4283726152","https://openalex.org/W3093571331","https://openalex.org/W1525770572","https://openalex.org/W1485888979","https://openalex.org/W3172507773","https://openalex.org/W2806680938","https://openalex.org/W4302285290"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
