{"id":"https://openalex.org/W2995905558","doi":"https://doi.org/10.48550/arxiv.1912.08843","title":"Heteroscedastic Gaussian Process Regression on the Alkenone over Sea Surface Temperatures","display_name":"Heteroscedastic Gaussian Process Regression on the Alkenone over Sea Surface Temperatures","publication_year":2019,"publication_date":"2019-12-18","ids":{"openalex":"https://openalex.org/W2995905558","doi":"https://doi.org/10.48550/arxiv.1912.08843","mag":"2995905558"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1912.08843","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.08843","pdf_url":"https://arxiv.org/pdf/1912.08843","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"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1912.08843","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100676246","display_name":"Taehee Lee","orcid":"https://orcid.org/0000-0002-5936-762X","observed_orcids":["https://orcid.org/0000-0002-5936-762X"]},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lee, Taehee","raw_affiliation_strings":["Division of Applied Mathematics Brown University Rhode Island , USA","Brown University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Applied Mathematics Brown University Rhode Island , USA","institution_ids":["https://openalex.org/I27804330"]},{"raw_affiliation_string":"Brown University","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026511725","display_name":"Charles E. Lawrence","orcid":"https://orcid.org/0000-0003-4011-6692","observed_orcids":["https://orcid.org/0000-0003-4011-6692"]},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lawrence, Charles E.","raw_affiliation_strings":["Division of Applied Mathematics Brown University Rhode Island , USA","Brown University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Applied Mathematics Brown University Rhode Island , USA","institution_ids":["https://openalex.org/I27804330"]},{"raw_affiliation_string":"Brown University","institution_ids":["https://openalex.org/I27804330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27804330"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.9365000128746033,"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":0.9365000128746033,"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/T10017","display_name":"Geology and Paleoclimatology Research","score":0.035100001841783524,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10029","display_name":"Climate variability and models","score":0.0035000001080334187,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/alkenones","display_name":"alkenones","score":0.6420000195503235},{"id":"https://openalex.org/keywords/sea-surface-temperature","display_name":"sea surface temperature","score":0.8370000123977661},{"id":"https://openalex.org/keywords/paleoclimate-reconstruction","display_name":"paleoclimate reconstruction","score":0.7239999771118164},{"id":"https://openalex.org/keywords/proxy-calibration","display_name":"proxy calibration","score":0.6729999780654907},{"id":"https://openalex.org/keywords/outlier-detection","display_name":"outlier detection","score":0.5730000138282776},{"id":"https://openalex.org/keywords/noise-modeling","display_name":"noise modeling","score":0.3790000081062317},{"id":"https://openalex.org/keywords/bayesian-classification","display_name":"Bayesian classification","score":0.41600000858306885}],"concepts":[{"id":"https://openalex.org/C101104100","wikidata":"https://www.wikidata.org/wiki/Q1063540","display_name":"Heteroscedasticity","level":2,"score":0.8183167576789856},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7102598547935486},{"id":"https://openalex.org/C2777066016","wikidata":"https://www.wikidata.org/wiki/Q3010548","display_name":"Alkenone","level":3,"score":0.6220172643661499},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4904420077800751},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4509527087211609},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4467223882675171},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4444194734096527},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4300631880760193},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4265429377555847},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.42451009154319763},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39321526885032654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3923848271369934},{"id":"https://openalex.org/C134097258","wikidata":"https://www.wikidata.org/wiki/Q1507383","display_name":"Sea surface temperature","level":2,"score":0.3504767417907715},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23598089814186096},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.19941362738609314},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.13414978981018066},{"id":"https://openalex.org/C147597530","wikidata":"https://www.wikidata.org/wiki/Q369472","display_name":"Computational chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:1912.08843","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.08843","pdf_url":"https://arxiv.org/pdf/1912.08843","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":"doi:10.48550/arxiv.1912.08843","doi":"https://doi.org/10.48550/arxiv.1912.08843","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1912.08843","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":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1912.08843","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.08843","pdf_url":"https://arxiv.org/pdf/1912.08843","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/G8320280801","display_name":"Collaborative Research: Bringing the Late Pleistocene into Focus: Better estimates of Ages and Ocean Circulation through Data-Model Comparison","funder_award_id":"1760838","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309070","display_name":"Brown University","ror":"https://ror.org/05gq02987"},{"id":"https://openalex.org/F4320322357","display_name":"Kwanjeong Educational Foundation","ror":"https://ror.org/05c5x8342"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2995905558.pdf","grobid_xml":"https://content.openalex.org/works/W2995905558.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1746819321","https://openalex.org/W1971713783","https://openalex.org/W1988115241","https://openalex.org/W2050913223","https://openalex.org/W2050947749","https://openalex.org/W2103496339","https://openalex.org/W2117063635","https://openalex.org/W2130073327","https://openalex.org/W2149764047","https://openalex.org/W2156099189","https://openalex.org/W2187471809","https://openalex.org/W2211925278","https://openalex.org/W2771431055","https://openalex.org/W2792554943","https://openalex.org/W2963097630","https://openalex.org/W2963641874"],"related_works":["https://openalex.org/W4312960078","https://openalex.org/W3009285925","https://openalex.org/W3049081553","https://openalex.org/W2792554943","https://openalex.org/W4404900584","https://openalex.org/W2608340048","https://openalex.org/W2364887214","https://openalex.org/W3121001017","https://openalex.org/W2265724063","https://openalex.org/W2562805128"],"abstract_inverted_index":{"To":[0],"restore":[1],"the":[2,19,35,49],"historical":[3],"sea":[4],"surface":[5],"temperatures":[6],"(SSTs)":[7],"better,":[8],"it":[9],"is":[10],"important":[11],"to":[12],"construct":[13],"a":[14,27,59],"good":[15],"calibration":[16],"model":[17,29],"for":[18,30],"associated":[20],"proxies.":[21],"In":[22],"this":[23],"paper,":[24],"we":[25],"introduce":[26],"new":[28],"alkenone":[31],"(${\\rm{U}}_{37}^{\\rm{K}'}$)":[32],"based":[33],"on":[34],"heteroscedastic":[36],"Gaussian":[37],"process":[38],"(GP)":[39],"regression":[40],"method.":[41],"Our":[42],"nonparametric":[43],"approach":[44],"not":[45],"only":[46],"deals":[47],"with":[48],"variable":[50],"pattern":[51],"of":[52,62],"noises":[53],"over":[54],"SSTs":[55],"but":[56],"also":[57],"contains":[58],"Bayesian":[60],"method":[61],"classifying":[63],"potential":[64],"outliers.":[65]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2019-12-26T00:00:00"}
