{"id":"https://openalex.org/W1990923471","doi":"https://doi.org/10.1016/s0167-9473(02)00211-6","title":"Space-varying regression models: specifications and simulation","display_name":"Space-varying regression models: specifications and simulation","publication_year":2003,"publication_date":"2003-03-01","ids":{"openalex":"https://openalex.org/W1990923471","doi":"https://doi.org/10.1016/s0167-9473(02)00211-6","mag":"1990923471"},"language":"en","primary_location":{"id":"doi:10.1016/s0167-9473(02)00211-6","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0167-9473(02)00211-6","pdf_url":null,"source":{"id":"https://openalex.org/S132362803","display_name":"Computational Statistics & Data Analysis","issn_l":"0167-9473","issn":["0167-9473","1872-7352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics & Data Analysis","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/A5110429732","display_name":"Dani Gamerman","orcid":null},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Dani Gamerman","raw_affiliation_strings":["Universidade Federal do Rio de Janeiro, Instituto de Matem\u00e1tica, Caixa Postal 68530, 21945-970, Rio de Janeiro, RJ, Brazil","Universidade Federal do Rio de Janeiro, Instituto de Matem\u00e1tica, Caixa Postal 68530, 21945-970, Rio de Janeiro, RJ, Brazil#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio de Janeiro, Instituto de Matem\u00e1tica, Caixa Postal 68530, 21945-970, Rio de Janeiro, RJ, Brazil","institution_ids":["https://openalex.org/I122140584"]},{"raw_affiliation_string":"Universidade Federal do Rio de Janeiro, Instituto de Matem\u00e1tica, Caixa Postal 68530, 21945-970, Rio de Janeiro, RJ, Brazil#TAB#","institution_ids":["https://openalex.org/I122140584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029280817","display_name":"Ajax Reynaldo Bello Moreira","orcid":null},"institutions":[{"id":"https://openalex.org/I3131024195","display_name":"Institute of Applied Economic Research","ror":"https://ror.org/02d3hy418","country_code":"BR","type":"government","lineage":["https://openalex.org/I3131024195"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ajax R.B. Moreira","raw_affiliation_strings":["Instituto de Pesquisa Econ\u00f4mica Aplicada, Brazil","Instituto de Pesquisa Econ\u00f4mica Aplicada; Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Pesquisa Econ\u00f4mica Aplicada, Brazil","institution_ids":["https://openalex.org/I3131024195"]},{"raw_affiliation_string":"Instituto de Pesquisa Econ\u00f4mica Aplicada; Brazil","institution_ids":["https://openalex.org/I3131024195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061250326","display_name":"H\u00e5vard Rue","orcid":"https://orcid.org/0000-0002-5833-2011"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"H\u00e5vard Rue","raw_affiliation_strings":["Norwegian University of Science and Technology, Norway","Norwegian University of Science and Technology; Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Norwegian University of Science and Technology, Norway","institution_ids":["https://openalex.org/I204778367"]},{"raw_affiliation_string":"Norwegian University of Science and Technology; Norway","institution_ids":["https://openalex.org/I204778367"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110429732"],"corresponding_institution_ids":["https://openalex.org/I122140584"],"apc_list":{"value":3340,"currency":"USD","value_usd":3340},"apc_paid":null,"fwci":8.2437,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.9800468,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"42","issue":"3","first_page":"513","last_page":"533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9991000294685364,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9991000294685364,"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/T10841","display_name":"Economic and Environmental Valuation","score":0.9986000061035156,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9980000257492065,"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/prior-probability","display_name":"Prior probability","score":0.6445327997207642},{"id":"https://openalex.org/keywords/bayesian-linear-regression","display_name":"Bayesian linear regression","score":0.6239532232284546},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5777333974838257},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5153986215591431},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.495903342962265},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4865352213382721},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.4447270333766937},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4351634681224823},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.416837215423584},{"id":"https://openalex.org/keywords/bayesian-multivariate-linear-regression","display_name":"Bayesian multivariate linear regression","score":0.4152262508869171},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41195523738861084},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4018574357032776},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3644874691963196},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.35808318853378296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1976037621498108}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6445327997207642},{"id":"https://openalex.org/C37903108","wikidata":"https://www.wikidata.org/wiki/Q4874474","display_name":"Bayesian linear regression","level":4,"score":0.6239532232284546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5777333974838257},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5153986215591431},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.495903342962265},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4865352213382721},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.4447270333766937},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4351634681224823},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.416837215423584},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.4152262508869171},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41195523738861084},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4018574357032776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3644874691963196},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.35808318853378296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1976037621498108},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/s0167-9473(02)00211-6","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0167-9473(02)00211-6","pdf_url":null,"source":{"id":"https://openalex.org/S132362803","display_name":"Computational Statistics & Data Analysis","issn_l":"0167-9473","issn":["0167-9473","1872-7352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics & Data Analysis","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":29,"referenced_works":["https://openalex.org/W28766783","https://openalex.org/W128740895","https://openalex.org/W1749258996","https://openalex.org/W1970073477","https://openalex.org/W1975911643","https://openalex.org/W1980363510","https://openalex.org/W1985037657","https://openalex.org/W1990075873","https://openalex.org/W1990923471","https://openalex.org/W2004014822","https://openalex.org/W2028226037","https://openalex.org/W2046225363","https://openalex.org/W2049882758","https://openalex.org/W2056760934","https://openalex.org/W2061115813","https://openalex.org/W2070216949","https://openalex.org/W2086892703","https://openalex.org/W2091300140","https://openalex.org/W2092456117","https://openalex.org/W2114100577","https://openalex.org/W2127874106","https://openalex.org/W2143022286","https://openalex.org/W2148534890","https://openalex.org/W2151926297","https://openalex.org/W2165936664","https://openalex.org/W2166414779","https://openalex.org/W2167943787","https://openalex.org/W3122858766","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2604963692","https://openalex.org/W2017034551","https://openalex.org/W228771216","https://openalex.org/W1768043922","https://openalex.org/W2964314781","https://openalex.org/W4389708677","https://openalex.org/W3006565005","https://openalex.org/W4287868071","https://openalex.org/W71678127","https://openalex.org/W2611832276"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}