{"id":"https://openalex.org/W2938183946","doi":"https://doi.org/10.1080/03610918.2019.1600707","title":"Robust inference in semiparametric spatial-temporal models","display_name":"Robust inference in semiparametric spatial-temporal models","publication_year":2019,"publication_date":"2019-04-16","ids":{"openalex":"https://openalex.org/W2938183946","doi":"https://doi.org/10.1080/03610918.2019.1600707","mag":"2938183946"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2019.1600707","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1600707","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/A5069066644","display_name":"Julius Santos","orcid":null},"institutions":[{"id":"https://openalex.org/I87074743","display_name":"University of the Philippines Diliman","ror":"https://ror.org/03tbh6y23","country_code":"PH","type":"education","lineage":["https://openalex.org/I103911934","https://openalex.org/I87074743"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Julius Santos","raw_affiliation_strings":["School of Statistics, University of the Philippines Diliman, Quezon City, Philippines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics, University of the Philippines Diliman, Quezon City, Philippines","institution_ids":["https://openalex.org/I87074743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033202816","display_name":"Erniel B. Barrios","orcid":"https://orcid.org/0000-0003-4209-2858"},"institutions":[{"id":"https://openalex.org/I87074743","display_name":"University of the Philippines Diliman","ror":"https://ror.org/03tbh6y23","country_code":"PH","type":"education","lineage":["https://openalex.org/I103911934","https://openalex.org/I87074743"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Erniel Barrios","raw_affiliation_strings":["School of Statistics, University of the Philippines Diliman, Quezon City, Philippines"],"raw_orcid":"https://orcid.org/0000-0003-4209-2858","affiliations":[{"raw_affiliation_string":"School of Statistics, University of the Philippines Diliman, Quezon City, Philippines","institution_ids":["https://openalex.org/I87074743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5033202816"],"corresponding_institution_ids":["https://openalex.org/I87074743"],"apc_list":null,"apc_paid":null,"fwci":0.1102,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43903522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"50","issue":"8","first_page":"2266","last_page":"2285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.996999979019165,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9933000206947327,"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/T10841","display_name":"Economic and Environmental Valuation","score":0.992900013923645,"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/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.760338544845581},{"id":"https://openalex.org/keywords/semiparametric-regression","display_name":"Semiparametric regression","score":0.7319271564483643},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6766610145568848},{"id":"https://openalex.org/keywords/semiparametric-model","display_name":"Semiparametric model","score":0.6625378131866455},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.631976306438446},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5551867485046387},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5162755846977234},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.4859558343887329},{"id":"https://openalex.org/keywords/additive-model","display_name":"Additive model","score":0.44118908047676086},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4375301003456116},{"id":"https://openalex.org/keywords/nonparametric-regression","display_name":"Nonparametric regression","score":0.4269864559173584},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.356849730014801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34744566679000854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3210800886154175},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25692814588546753}],"concepts":[{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.760338544845581},{"id":"https://openalex.org/C19539793","wikidata":"https://www.wikidata.org/wiki/Q7449609","display_name":"Semiparametric regression","level":3,"score":0.7319271564483643},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6766610145568848},{"id":"https://openalex.org/C78297888","wikidata":"https://www.wikidata.org/wiki/Q7449607","display_name":"Semiparametric model","level":3,"score":0.6625378131866455},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.631976306438446},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5551867485046387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5162755846977234},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.4859558343887329},{"id":"https://openalex.org/C203223496","wikidata":"https://www.wikidata.org/wiki/Q4681344","display_name":"Additive model","level":2,"score":0.44118908047676086},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4375301003456116},{"id":"https://openalex.org/C74127309","wikidata":"https://www.wikidata.org/wiki/Q3455886","display_name":"Nonparametric regression","level":3,"score":0.4269864559173584},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.356849730014801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34744566679000854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3210800886154175},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25692814588546753},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2019.1600707","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1600707","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1522735768","https://openalex.org/W2057375973","https://openalex.org/W2076982155","https://openalex.org/W2078420661","https://openalex.org/W2091290241","https://openalex.org/W2104645801","https://openalex.org/W2111691221","https://openalex.org/W2127382830","https://openalex.org/W2135902042","https://openalex.org/W4252542285"],"related_works":["https://openalex.org/W920448194","https://openalex.org/W2073342237","https://openalex.org/W950066901","https://openalex.org/W1564806038","https://openalex.org/W3150947797","https://openalex.org/W3137444672","https://openalex.org/W2005928212","https://openalex.org/W2339080637","https://openalex.org/W2380237559","https://openalex.org/W2083659801"],"abstract_inverted_index":{"A":[0],"semi-parametric":[1],"spatial-temporal":[2],"model":[3,25,49],"is":[4,57,75],"estimated":[5],"using":[6],"a":[7,29,34],"hybrid":[8],"of":[9,19,36,40,70],"forward":[10],"search":[11],"algorithm":[12],"and":[13,46,77],"nonparametric":[14],"regression":[15],"in":[16],"the":[17,41,47,82],"context":[18],"backfitting":[20],"an":[21],"additive":[22],"model.":[23],"The":[24,73],"can":[26],"account":[27],"for":[28,63],"structural":[30,64],"change":[31,65],"represented":[32],"by":[33],"function":[35],"time.":[37],"Robust":[38],"estimates":[39],"parametric":[42],"component":[43],"are":[44],"produced":[45],"predicted":[48],"also":[50],"exhibit":[51],"good":[52],"predictive":[53],"ability.":[54],"Nonparametric":[55],"bootstrap":[56],"used":[58],"to":[59],"facilitate":[60],"significance":[61],"test":[62,74],"even":[66],"without":[67],"prior":[68],"knowledge":[69],"its":[71],"nature.":[72],"properly-sized":[76],"powerful":[78],"as":[79],"observed":[80],"from":[81],"simulation":[83],"studies.":[84]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}