{"id":"https://openalex.org/W4390410132","doi":"https://doi.org/10.1080/03610918.2023.2296856","title":"Efficient estimation for nonparametric spatio-temporal models with nonparametric autocorrelated errors <sup>\u22c6</sup>","display_name":"Efficient estimation for nonparametric spatio-temporal models with nonparametric autocorrelated errors <sup>\u22c6</sup>","publication_year":2023,"publication_date":"2023-12-28","ids":{"openalex":"https://openalex.org/W4390410132","doi":"https://doi.org/10.1080/03610918.2023.2296856"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2023.2296856","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2023.2296856","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/A5085457634","display_name":"Xuehong Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuehong Luo","raw_affiliation_strings":["Department of Statistics and Data Science, School of Economics, Xiamen University","Department of Statistics and Data Science, School of Economics, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science, School of Economics, Xiamen University","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Department of Statistics and Data Science, School of Economics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010247484","display_name":"Zihan Zhao","orcid":"https://orcid.org/0000-0002-3391-1041"},"institutions":[{"id":"https://openalex.org/I206777745","display_name":"Nanjing Audit University","ror":"https://ror.org/04zj2bd87","country_code":"CN","type":"education","lineage":["https://openalex.org/I206777745"]},{"id":"https://openalex.org/I4210152533","display_name":"Lanzhou University of Finance and Economics","ror":"https://ror.org/04v7yv031","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152533"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihan Zhao","raw_affiliation_strings":["School of Mathematics and Statistics, Lanzhou University","School of Statistics and Data Science, Nanjing Audit University","School of Mathematics and Statistics, Lanzhou University, Lanzhou, China","School of Statistics and Data Science, Nanjing Audit University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Lanzhou University","institution_ids":["https://openalex.org/I4210152533"]},{"raw_affiliation_string":"School of Statistics and Data Science, Nanjing Audit University","institution_ids":["https://openalex.org/I206777745"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Lanzhou University, Lanzhou, China","institution_ids":["https://openalex.org/I4210152533"]},{"raw_affiliation_string":"School of Statistics and Data Science, Nanjing Audit University, Nanjing, China","institution_ids":["https://openalex.org/I206777745"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042073512","display_name":"Hongxia Wang","orcid":"https://orcid.org/0000-0003-3062-4060"},"institutions":[{"id":"https://openalex.org/I206777745","display_name":"Nanjing Audit University","ror":"https://ror.org/04zj2bd87","country_code":"CN","type":"education","lineage":["https://openalex.org/I206777745"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongxia Wang","raw_affiliation_strings":["School of Statistics and Data Science, Nanjing Audit University","School of Statistics and Data Science, Nanjing Audit University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Statistics and Data Science, Nanjing Audit University","institution_ids":["https://openalex.org/I206777745"]},{"raw_affiliation_string":"School of Statistics and Data Science, Nanjing Audit University, Nanjing, China","institution_ids":["https://openalex.org/I206777745"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019765737","display_name":"Chenhua Li","orcid":"https://orcid.org/0009-0000-4036-6849"},"institutions":[{"id":"https://openalex.org/I206777745","display_name":"Nanjing Audit University","ror":"https://ror.org/04zj2bd87","country_code":"CN","type":"education","lineage":["https://openalex.org/I206777745"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenhua Li","raw_affiliation_strings":["School of Economics, Nanjing Audit University","School of Economics, Nanjing Audit University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Economics, Nanjing Audit University","institution_ids":["https://openalex.org/I206777745"]},{"raw_affiliation_string":"School of Economics, Nanjing Audit University, Nanjing, China","institution_ids":["https://openalex.org/I206777745"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5042073512"],"corresponding_institution_ids":["https://openalex.org/I206777745"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15360892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"54","issue":"3","first_page":"790","last_page":"823"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10841","display_name":"Economic and Environmental Valuation","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.8689799308776855},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.8637750744819641},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.8128355145454407},{"id":"https://openalex.org/keywords/asymptotic-distribution","display_name":"Asymptotic distribution","score":0.6470510959625244},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5746096968650818},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5344730019569397},{"id":"https://openalex.org/keywords/normality","display_name":"Normality","score":0.5163158774375916},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4980297088623047},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4959958493709564},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4587891101837158},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.39128488302230835},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3889559507369995},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06501314043998718}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8689799308776855},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.8637750744819641},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.8128355145454407},{"id":"https://openalex.org/C65778772","wikidata":"https://www.wikidata.org/wiki/Q12345341","display_name":"Asymptotic distribution","level":3,"score":0.6470510959625244},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5746096968650818},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5344730019569397},{"id":"https://openalex.org/C2776157432","wikidata":"https://www.wikidata.org/wiki/Q1375683","display_name":"Normality","level":2,"score":0.5163158774375916},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4980297088623047},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4959958493709564},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4587891101837158},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.39128488302230835},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3889559507369995},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06501314043998718},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2023.2296856","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2023.2296856","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":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1523228994","https://openalex.org/W1976851630","https://openalex.org/W2001937004","https://openalex.org/W2015501992","https://openalex.org/W2017021654","https://openalex.org/W2019719327","https://openalex.org/W2029029049","https://openalex.org/W2031524628","https://openalex.org/W2036014214","https://openalex.org/W2052113651","https://openalex.org/W2057218833","https://openalex.org/W2057419680","https://openalex.org/W2066744638","https://openalex.org/W2128148355","https://openalex.org/W2496675188","https://openalex.org/W2606555351","https://openalex.org/W2747207142","https://openalex.org/W2802825170","https://openalex.org/W2808862972","https://openalex.org/W2902003317","https://openalex.org/W2912855477","https://openalex.org/W2983166019","https://openalex.org/W3026004740","https://openalex.org/W3072360790","https://openalex.org/W3122912982","https://openalex.org/W3210055674","https://openalex.org/W4211131047","https://openalex.org/W4243164716","https://openalex.org/W4313420972","https://openalex.org/W4382202359"],"related_works":["https://openalex.org/W4321650139","https://openalex.org/W2169275958","https://openalex.org/W2506314341","https://openalex.org/W2917687159","https://openalex.org/W4391002904","https://openalex.org/W747394405","https://openalex.org/W2405714784","https://openalex.org/W2106922074","https://openalex.org/W2000721663","https://openalex.org/W4285364886"],"abstract_inverted_index":{"Spatio-temporally":[0],"correlated":[1],"data":[2],"appear":[3],"in":[4],"many":[5],"environmental":[6],"studies,":[7,81],"and":[8,25,79],"consequently,":[9],"there":[10],"is":[11,44,69],"an":[12,37],"increasing":[13],"demand":[14],"for":[15,99],"estimation":[16,38],"methods":[17,94],"that":[18,40,55,82],"take":[19],"account":[20,98],"of":[21,30,51,65],"spatio-temporal":[22],"(ST)":[23],"correlation":[24],"thereby":[26],"improve":[27],"the":[28,52,60,66,83,90],"accuracy":[29],"estimation.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35],"propose":[36],"procedure":[39],"improves":[41],"efficiency,":[42],"which":[43,95],"based":[45],"upon":[46],"a":[47],"nonparametric":[48],"pre-whitening":[49],"transformation":[50],"dependent":[53],"variable":[54],"must":[56],"be":[57],"estimated":[58],"from":[59],"data.":[61],"The":[62],"asymptotic":[63],"normality":[64],"proposed":[67,84],"estimators":[68,85],"established":[70],"under":[71],"mild":[72],"conditions.":[73],"We":[74],"demonstrate,":[75],"using":[76],"both":[77],"simulation":[78],"case":[80],"are":[86],"more":[87],"efficient":[88],"than":[89],"traditional":[91],"locally":[92],"linear":[93],"fail":[96],"to":[97],"ST":[100],"correlation.":[101]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}