{"id":"https://openalex.org/W2946108478","doi":"https://doi.org/10.1007/s11222-021-09999-1","title":"Gaussian process learning via Fisher scoring of Vecchia\u2019s approximation","display_name":"Gaussian process learning via Fisher scoring of Vecchia\u2019s approximation","publication_year":2021,"publication_date":"2021-03-03","ids":{"openalex":"https://openalex.org/W2946108478","doi":"https://doi.org/10.1007/s11222-021-09999-1","mag":"2946108478"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-021-09999-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-021-09999-1","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1905.08374","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048361916","display_name":"Joseph Guinness","orcid":"https://orcid.org/0000-0003-0564-6639"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Joseph Guinness","raw_affiliation_strings":["Department of Statistics and Data Science, Cornell University, Ithaca, USA"],"raw_orcid":"https://orcid.org/0000-0003-0564-6639","affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science, Cornell University, Ithaca, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048361916"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":null,"fwci":0.6675,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7427496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9909999966621399,"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/T13126","display_name":"Scientific Research and Discoveries","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scoring-algorithm","display_name":"Scoring algorithm","score":0.7599220275878906},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6959405541419983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5374100804328918},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5050206780433655},{"id":"https://openalex.org/keywords/fisher-information","display_name":"Fisher information","score":0.5011804103851318},{"id":"https://openalex.org/keywords/function-approximation","display_name":"Function approximation","score":0.47247833013534546},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4597937762737274},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.45170414447784424},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4471580386161804},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.43815991282463074},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4375920593738556},{"id":"https://openalex.org/keywords/covariance-function","display_name":"Covariance function","score":0.41348618268966675},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4110538363456726},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40880054235458374},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3877059519290924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37067532539367676},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35920172929763794},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35700318217277527},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30300790071487427},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.23857098817825317},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23830345273017883},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11610046029090881},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10101056098937988}],"concepts":[{"id":"https://openalex.org/C83282275","wikidata":"https://www.wikidata.org/wiki/Q7435350","display_name":"Scoring algorithm","level":2,"score":0.7599220275878906},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6959405541419983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5374100804328918},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5050206780433655},{"id":"https://openalex.org/C29406490","wikidata":"https://www.wikidata.org/wiki/Q1420659","display_name":"Fisher information","level":2,"score":0.5011804103851318},{"id":"https://openalex.org/C91873725","wikidata":"https://www.wikidata.org/wiki/Q3445816","display_name":"Function approximation","level":3,"score":0.47247833013534546},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4597937762737274},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45170414447784424},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4471580386161804},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.43815991282463074},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4375920593738556},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.41348618268966675},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4110538363456726},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40880054235458374},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3877059519290924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37067532539367676},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35920172929763794},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35700318217277527},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30300790071487427},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.23857098817825317},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23830345273017883},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11610046029090881},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10101056098937988},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s11222-021-09999-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-021-09999-1","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1905.08374","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.08374","pdf_url":"https://arxiv.org/pdf/1905.08374","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,"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:2946108478","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1905.08374.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,"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.1905.08374","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1905.08374","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,"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":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1905.08374","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.08374","pdf_url":"https://arxiv.org/pdf/1905.08374","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,"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":[{"id":"https://metadata.un.org/sdg/14","score":0.800000011920929,"display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G3814945454","display_name":"Data Integration Methods for Environmental Exposures with Applications to Air Pollution and Asthma Morbidity","funder_award_id":"3r01es027892-05s1","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4373384796","display_name":null,"funder_award_id":"R01 ES027892","funder_id":"https://openalex.org/F4320337361","funder_display_name":"National Institute of Environmental Health Sciences"},{"id":"https://openalex.org/G4905599847","display_name":"Estimation and Inference for Massive Multivariate Spatial Data","funder_award_id":"1613219","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8495854596","display_name":null,"funder_award_id":"1613219","funder_id":"https://openalex.org/F4320332172","funder_display_name":"Directorate for Mathematical and Physical Sciences"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320332172","display_name":"Directorate for Mathematical and Physical Sciences","ror":"https://ror.org/029b7h395"},{"id":"https://openalex.org/F4320337361","display_name":"National Institute of Environmental Health Sciences","ror":"https://ror.org/00j4k1h63"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2946108478.pdf","grobid_xml":"https://content.openalex.org/works/W2946108478.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W54587910","https://openalex.org/W2040635790","https://openalex.org/W2071379353","https://openalex.org/W2171074980","https://openalex.org/W2586419555","https://openalex.org/W2765431235","https://openalex.org/W2968350215","https://openalex.org/W3114272883","https://openalex.org/W4399583416","https://openalex.org/W4399650254"],"related_works":["https://openalex.org/W2735731743","https://openalex.org/W2472065987","https://openalex.org/W3120502728","https://openalex.org/W3100773407","https://openalex.org/W3093941497","https://openalex.org/W1863645314","https://openalex.org/W106871803","https://openalex.org/W2045197391","https://openalex.org/W2736796540","https://openalex.org/W3126286510","https://openalex.org/W1762233554","https://openalex.org/W2988784546","https://openalex.org/W2024545057","https://openalex.org/W2331822759","https://openalex.org/W814917766","https://openalex.org/W2953317318","https://openalex.org/W2949784131","https://openalex.org/W3104691657","https://openalex.org/W3081237658","https://openalex.org/W2615708464"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}