{"id":"https://openalex.org/W2183213045","doi":null,"title":"INFERENCE FOR SEMIPARAMETRIC MODELS: SOME QUESTIONS AND AN ANSWER","display_name":"INFERENCE FOR SEMIPARAMETRIC MODELS: SOME QUESTIONS AND AN ANSWER","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W2183213045","mag":"2183213045"},"language":"en","primary_location":{"id":"mag:2183213045","doi":null,"is_oa":false,"landing_page_url":"https://bcf.usc.edu/%7Elarry/courses/Ma547/s02/inference.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","indexed_in":[],"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/A5025311999","display_name":"Peter J. Bickel","orcid":"https://orcid.org/0000-0001-7480-662X","observed_orcids":["https://orcid.org/0000-0001-7480-662X"]},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter J. Bickel","raw_affiliation_strings":["University of California\u2013Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California\u2013Berkeley","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113689816","display_name":"Jaimyoung Kwon B","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jaimyoung Kwon","raw_affiliation_strings":["University of California\u2013Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California\u2013Berkeley","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":3.3586,"has_fulltext":false,"cited_by_count":124,"citation_normalized_percentile":{"value":0.93089005,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9961000084877014,"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":0.9961000084877014,"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/T13500","display_name":"Probability and Statistical Research","score":0.0012000000569969416,"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/T13141","display_name":"Statistical Methods and Applications","score":0.0003000000142492354,"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/semiparametric-models","display_name":"semiparametric models","score":0.9639999866485596},{"id":"https://openalex.org/keywords/nonparametric-models","display_name":"nonparametric models","score":0.890999972820282},{"id":"https://openalex.org/keywords/efficient-estimators","display_name":"efficient estimators","score":0.796999990940094},{"id":"https://openalex.org/keywords/estimator-efficiency","display_name":"estimator efficiency","score":0.5720000267028809},{"id":"https://openalex.org/keywords/efficient-influence-curve","display_name":"efficient influence curve","score":0.5899999737739563},{"id":"https://openalex.org/keywords/regression-models","display_name":"regression models","score":0.6769999861717224},{"id":"https://openalex.org/keywords/counting-process-models","display_name":"counting process models","score":0.9789999723434448},{"id":"https://openalex.org/keywords/survival-analysis","display_name":"survival analysis","score":0.9879999756813049},{"id":"https://openalex.org/keywords/markov-chains","display_name":"Markov chains","score":0.7509999871253967}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6845832467079163},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.612332284450531},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5921162366867065},{"id":"https://openalex.org/C19539793","wikidata":"https://www.wikidata.org/wiki/Q7449609","display_name":"Semiparametric regression","level":3,"score":0.5426481366157532},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.48687925934791565},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4852857291698456},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4636261463165283},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42021316289901733},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4145893454551697},{"id":"https://openalex.org/C2777686260","wikidata":"https://www.wikidata.org/wiki/Q144037","display_name":"Calculus (dental)","level":2,"score":0.3995773196220398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34812620282173157},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3299137353897095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3284896910190582},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17943239212036133},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11171877384185791},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C199343813","wikidata":"https://www.wikidata.org/wiki/Q12128","display_name":"Dentistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2183213045","doi":null,"is_oa":false,"landing_page_url":"https://bcf.usc.edu/%7Elarry/courses/Ma547/s02/inference.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":152,"referenced_works":["https://openalex.org/W87303543","https://openalex.org/W128574488","https://openalex.org/W135795571","https://openalex.org/W168593603","https://openalex.org/W191129667","https://openalex.org/W605215085","https://openalex.org/W1493032750","https://openalex.org/W1495578089","https://openalex.org/W1511463743","https://openalex.org/W1517114861","https://openalex.org/W1541625803","https://openalex.org/W1553035240","https://openalex.org/W1566770302","https://openalex.org/W1573240883","https://openalex.org/W1576925720","https://openalex.org/W1580247937","https://openalex.org/W1592107039","https://openalex.org/W1592877605","https://openalex.org/W1608217666","https://openalex.org/W1963509555","https://openalex.org/W1963618476","https://openalex.org/W1963874316","https://openalex.org/W1964333077","https://openalex.org/W1965209540","https://openalex.org/W1968793564","https://openalex.org/W1970738610","https://openalex.org/W1971626125","https://openalex.org/W1973598141","https://openalex.org/W1974531025","https://openalex.org/W1977314434","https://openalex.org/W1978050260","https://openalex.org/W1979757670","https://openalex.org/W1980170952","https://openalex.org/W1980567312","https://openalex.org/W1981178452","https://openalex.org/W1982265941","https://openalex.org/W1982548210","https://openalex.org/W1986008953","https://openalex.org/W1986291841","https://openalex.org/W1987371687","https://openalex.org/W1988697311","https://openalex.org/W1990167502","https://openalex.org/W1992560449","https://openalex.org/W1992722272","https://openalex.org/W1993425024","https://openalex.org/W1995672551","https://openalex.org/W1995713768","https://openalex.org/W1995771589","https://openalex.org/W1995884203","https://openalex.org/W1995945562","https://openalex.org/W1996972331","https://openalex.org/W1997071161","https://openalex.org/W1997480226","https://openalex.org/W1997592175","https://openalex.org/W2003022438","https://openalex.org/W2005269542","https://openalex.org/W2007093655","https://openalex.org/W2007277516","https://openalex.org/W2008611002","https://openalex.org/W2010029576","https://openalex.org/W2010353172","https://openalex.org/W2010375027","https://openalex.org/W2010461984","https://openalex.org/W2012658469","https://openalex.org/W2012712694","https://openalex.org/W2012927354","https://openalex.org/W2015475535","https://openalex.org/W2016373742","https://openalex.org/W2018323643","https://openalex.org/W2018543390","https://openalex.org/W2023056273","https://openalex.org/W2023135717","https://openalex.org/W2024307779","https://openalex.org/W2028201632","https://openalex.org/W2028739122","https://openalex.org/W2030748132","https://openalex.org/W2030982056","https://openalex.org/W2033269265","https://openalex.org/W2035403755","https://openalex.org/W2037767836","https://openalex.org/W2040391194","https://openalex.org/W2040976149","https://openalex.org/W2041295679","https://openalex.org/W2042089645","https://openalex.org/W2046977371","https://openalex.org/W2047694274","https://openalex.org/W2049633694","https://openalex.org/W2050127204","https://openalex.org/W2050637044","https://openalex.org/W2056519558","https://openalex.org/W2056523934","https://openalex.org/W2057575215","https://openalex.org/W2060467039","https://openalex.org/W2061786189","https://openalex.org/W2062033195","https://openalex.org/W2062532221","https://openalex.org/W2063281309","https://openalex.org/W2066841598","https://openalex.org/W2069429561","https://openalex.org/W2069856523","https://openalex.org/W2075118838","https://openalex.org/W2078309027","https://openalex.org/W2079562898","https://openalex.org/W2079724595","https://openalex.org/W2080041034","https://openalex.org/W2080234327","https://openalex.org/W2081877251","https://openalex.org/W2082859738","https://openalex.org/W2083123688","https://openalex.org/W2085584017","https://openalex.org/W2086795288","https://openalex.org/W2088031810","https://openalex.org/W2088912739","https://openalex.org/W2089896165","https://openalex.org/W2091485360","https://openalex.org/W2093381735","https://openalex.org/W2093869030","https://openalex.org/W2094349820","https://openalex.org/W2094660994","https://openalex.org/W2097147565","https://openalex.org/W2099378941","https://openalex.org/W2104318174","https://openalex.org/W2105059909","https://openalex.org/W2111117254","https://openalex.org/W2115566230","https://openalex.org/W2116855184","https://openalex.org/W2122643824","https://openalex.org/W2125732326","https://openalex.org/W2129086422","https://openalex.org/W2130364138","https://openalex.org/W2130416410","https://openalex.org/W2135375850","https://openalex.org/W2136857234","https://openalex.org/W2137773562","https://openalex.org/W2141194301","https://openalex.org/W2147534109","https://openalex.org/W2150291618","https://openalex.org/W2160455158","https://openalex.org/W2229458596","https://openalex.org/W2319384619","https://openalex.org/W2319765455","https://openalex.org/W2329116628","https://openalex.org/W2397706642","https://openalex.org/W2460285072","https://openalex.org/W2489800874","https://openalex.org/W2492689448","https://openalex.org/W2494230787","https://openalex.org/W2500161461","https://openalex.org/W2504491479","https://openalex.org/W2796930163","https://openalex.org/W2797583072","https://openalex.org/W2969531413"],"related_works":["https://openalex.org/W7100725222","https://openalex.org/W7099491023","https://openalex.org/W1578700070","https://openalex.org/W2989520011","https://openalex.org/W3000341649","https://openalex.org/W128386913","https://openalex.org/W7096369929","https://openalex.org/W754619228","https://openalex.org/W13795450","https://openalex.org/W1590908458"],"abstract_inverted_index":{"Non-and":[0],"semi-parametric":[1],"models":[2,75,95],"have":[3,12,20],"flourished":[4],"during":[5],"the":[6,60,68,111,113,120],"last":[7],"twenty":[8],"five":[9],"years.":[10],"They":[11],"been":[13,21,81],"applied":[14],"widely":[15],"and":[16,31,99,125],"their":[17,29],"theoretical":[18],"properties":[19],"studied":[22],"extensively.":[23],"We":[24,43],"briefly":[25],"review":[26],"some":[27],"of":[28,49,59,70,101,122],"development":[30],"list":[32],"a":[33,54,77,128],"few":[34],"questions":[35,51],"that":[36,58,63],"we":[37],"would":[38],"like":[39],"to":[40,47,57,66,90],"see":[41],"addressed.":[42],"develop":[44],"an":[45],"answer":[46],"one":[48],"these":[50],"by":[52,87],"formulating":[53],"'calculus'":[55],"similar":[56],"i.i.d.":[61],"case":[62],"enables":[64],"us":[65,116],"analyze":[67],"efficiency":[69],"procedures":[71],"in":[72,96],"general":[73],"semiparametric":[74],"when":[76],"nonparametric":[78],"model":[79],"has":[80],"defined.":[82],"Our":[83],"approach":[84],"is":[85,131],"illustrated":[86],"applying":[88],"it":[89],"regression":[91],"models,":[92],"counting":[93],"process":[94],"survival":[97],"analysis":[98],"submodels":[100],"Markov":[102],"chains,":[103],"which":[104],"traditionally":[105],"require":[106],"elaborate":[107],"special":[108],"arguments.":[109],"In":[110],"examples,":[112],"calculus":[114],"lets":[115],"easily":[117],"read":[118],"off":[119],"structure":[121],"efficient":[123],"estimators":[124],"check":[126],"if":[127],"candidate":[129],"estimator":[130],"efficient.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":6}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}