{"id":"https://openalex.org/W2990563006","doi":"https://doi.org/10.1002/env.2606","title":"Bayesian inference for finite populations under spatial process settings","display_name":"Bayesian inference for finite populations under spatial process settings","publication_year":2019,"publication_date":"2019-11-22","ids":{"openalex":"https://openalex.org/W2990563006","doi":"https://doi.org/10.1002/env.2606","mag":"2990563006"},"language":"en","primary_location":{"id":"doi:10.1002/env.2606","doi":"https://doi.org/10.1002/env.2606","is_oa":false,"landing_page_url":"https://doi.org/10.1002/env.2606","pdf_url":null,"source":{"id":"https://openalex.org/S17114410","display_name":"Environmetrics","issn_l":"1099-095X","issn":["1099-095X","1180-4009"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-2","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Environmetrics","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1906.06714","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087346923","display_name":"Alec M. Chan\u2010Golston","orcid":"https://orcid.org/0000-0001-9963-8650","observed_orcids":["https://orcid.org/0000-0001-9963-8650"]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alec M. Chan\u2010Golston","raw_affiliation_strings":["Department of Biostatistics UCLA Fielding School of Public Health  Los Angeles California","University of California-Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics UCLA Fielding School of Public Health  Los Angeles California","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California-Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069620117","display_name":"Sudipto Banerjee","orcid":"https://orcid.org/0000-0002-2239-208X","observed_orcids":["https://orcid.org/0000-0002-2239-208X"]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sudipto Banerjee","raw_affiliation_strings":["Department of Biostatistics UCLA Fielding School of Public Health  Los Angeles California","University of California-Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics UCLA Fielding School of Public Health  Los Angeles California","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California-Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034909666","display_name":"Mark S. Handcock","orcid":"https://orcid.org/0000-0002-9985-2785","observed_orcids":["https://orcid.org/0000-0002-9985-2785"]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark S. Handcock","raw_affiliation_strings":["Department of Statistics University of California, Los Angeles  California","University of California-Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics University of California, Los Angeles  California","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California-Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5069620117"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":{"value":3700,"currency":"USD","value_usd":3700},"apc_paid":null,"fwci":0.584,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71845688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"31","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.6636000275611877,"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/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.6636000275611877,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.10170000046491623,"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":0.06109999865293503,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spatial-processes","display_name":"spatial processes","score":0.7210000157356262},{"id":"https://openalex.org/keywords/spatial-dependence","display_name":"spatial dependence","score":0.9259999990463257},{"id":"https://openalex.org/keywords/geostatistical-models","display_name":"geostatistical models","score":0.9110000133514404},{"id":"https://openalex.org/keywords/spatial-interpolation","display_name":"spatial interpolation","score":0.546999990940094},{"id":"https://openalex.org/keywords/groundwater-nitrate","display_name":"groundwater nitrate","score":0.8330000042915344},{"id":"https://openalex.org/keywords/design-based-inference","display_name":"design-based inference","score":0.6179999709129333},{"id":"https://openalex.org/keywords/small-area-estimation","display_name":"small area estimation","score":0.5830000042915344}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7308875322341919},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.635155439376831},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.631808876991272},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5870102643966675},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.5697401762008667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4960421025753021},{"id":"https://openalex.org/C129963666","wikidata":"https://www.wikidata.org/wiki/Q17105857","display_name":"Small area estimation","level":3,"score":0.46806588768959045},{"id":"https://openalex.org/C75373757","wikidata":"https://www.wikidata.org/wiki/Q7410160","display_name":"Sampling design","level":3,"score":0.4654895067214966},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.45962798595428467},{"id":"https://openalex.org/C138695830","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial dependence","level":2,"score":0.4509321451187134},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.43834349513053894},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4016009569168091},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34838831424713135},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.336317241191864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20288872718811035},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1002/env.2606","doi":"https://doi.org/10.1002/env.2606","is_oa":false,"landing_page_url":"https://doi.org/10.1002/env.2606","pdf_url":null,"source":{"id":"https://openalex.org/S17114410","display_name":"Environmetrics","issn_l":"1099-095X","issn":["1099-095X","1180-4009"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","cwts-core","dongbi-c","jufo-2","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Environmetrics","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1906.06714","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.06714","pdf_url":"https://arxiv.org/pdf/1906.06714","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2990563006","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/pdf/1906.06714.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1906.06714","doi":"https://doi.org/10.48550/arxiv.1906.06714","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1906.06714","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1906.06714","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.06714","pdf_url":"https://arxiv.org/pdf/1906.06714","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1606545021","display_name":"Hierarchical Modeling and Analysis for Large Spatially and Temporally Misaligned Data in Environmental Health Applications","funder_award_id":"R01ES027027","funder_id":"https://openalex.org/F4320337361","funder_display_name":"National Institute of Environmental Health Sciences"},{"id":"https://openalex.org/G3850739925","display_name":"Flexible Bayesian Hierarchical Models for Estimating Inhalation Exposures","funder_award_id":"R01ES030210","funder_id":"https://openalex.org/F4320337361","funder_display_name":"National Institute of Environmental Health Sciences"},{"id":"https://openalex.org/G6178810629","display_name":null,"funder_award_id":"1562303","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"}],"funders":[{"id":"https://openalex.org/F4320337361","display_name":"National Institute of Environmental Health Sciences","ror":"https://ror.org/00j4k1h63"},{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2990563006.pdf","grobid_xml":"https://content.openalex.org/works/W2990563006.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W146619314","https://openalex.org/W172741546","https://openalex.org/W173980158","https://openalex.org/W1484712862","https://openalex.org/W1553183338","https://openalex.org/W1695074111","https://openalex.org/W1789135701","https://openalex.org/W1853715423","https://openalex.org/W1898904249","https://openalex.org/W1968292150","https://openalex.org/W1985093013","https://openalex.org/W1989054110","https://openalex.org/W1996995433","https://openalex.org/W2019485278","https://openalex.org/W2030597423","https://openalex.org/W2032394556","https://openalex.org/W2059120516","https://openalex.org/W2061320421","https://openalex.org/W2064165267","https://openalex.org/W2066583279","https://openalex.org/W2072957840","https://openalex.org/W2100358124","https://openalex.org/W2114882275","https://openalex.org/W2127874106","https://openalex.org/W2132618480","https://openalex.org/W2147351230","https://openalex.org/W2170712385","https://openalex.org/W2186017270","https://openalex.org/W2203714058","https://openalex.org/W2545859628","https://openalex.org/W2582743722","https://openalex.org/W2785799516","https://openalex.org/W2799211855","https://openalex.org/W3165771198","https://openalex.org/W4233471163","https://openalex.org/W4292691288"],"related_works":["https://openalex.org/W2949105698","https://openalex.org/W3084723617","https://openalex.org/W4283074202","https://openalex.org/W4394576641","https://openalex.org/W7028407302","https://openalex.org/W4406184632","https://openalex.org/W7063880054","https://openalex.org/W4294763232","https://openalex.org/W168651852","https://openalex.org/W3126791627"],"abstract_inverted_index":{"Abstract":[0],"We":[1,118,159],"develop":[2],"a":[3,19,55,81,85],"Bayesian":[4],"model\u2013based":[5],"approach":[6],"to":[7,79,139],"finite":[8,25,45,90,116,126],"population":[9,26,91,127,173],"estimation":[10,39],"accounting":[11],"for":[12,24,99,141,167],"spatial":[13,29,86,112,142],"dependence.":[14],"Our":[15],"innovation":[16],"here":[17],"is":[18,41],"framework":[20],"that":[21,42,124,137],"achieves":[22],"inference":[23,134,150,166],"quantities":[27,92],"in":[28,59,114,171],"process":[30],"settings.":[31],"A":[32],"key":[33],"distinction":[34],"from":[35,93],"the":[36,61,67,74,111,115,145,156,172],"small":[37],"area":[38],"setting":[40],"we":[43,53],"analyze":[44],"populations":[46],"referenced":[47],"by":[48,120,179],"their":[49,187],"geographic":[50,65],"coordinates.":[51],"Specifically,":[52],"consider":[54],"two\u2010stage":[56],"sampling":[57,100,128],"design":[58],"which":[60,102],"primary":[62],"units":[63,69],"are":[64,70,77],"regions,":[66],"secondary":[68],"point\u2010referenced":[71],"locations,":[72],"and":[73,133,163,186],"measured":[75],"values":[76],"assumed":[78],"be":[80],"partial":[82],"realization":[83],"of":[84,89,174,182],"process.":[87],"Estimation":[88],"geostatistical":[94],"models":[95,129,136,147],"does":[96],"not":[97],"account":[98,140],"designs,":[101],"can":[103],"impair":[104],"inferential":[105],"performance,":[106],"whereas":[107],"design\u2010based":[108],"estimates":[109,181],"ignore":[110],"dependence":[113],"population.":[117],"demonstrate":[119,164],"using":[121],"simulation":[122],"experiments":[123],"process\u2010based":[125,146],"improve":[130],"model":[131],"fit":[132],"over":[135,155],"fail":[138],"correlation.":[143],"Furthermore,":[144],"offer":[148],"richer":[149],"with":[151],"spatially":[152,188],"interpolated":[153,189],"maps":[154],"entire":[157],"region.":[158],"reinforce":[160],"these":[161],"improvements":[162],"scalable":[165],"groundwater":[168],"nitrate":[169,184],"levels":[170,185],"California":[175],"Central":[176],"Valley":[177],"wells":[178],"offering":[180],"mean":[183],"maps.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2019-12-05T00:00:00"}
