{"title":"A hierarchical approach to scalable Gaussian process regression for spatial data","authors":"Jacob Dearmon, Tony E. Smith","doi":"10.1007/s43071-021-00012-5","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":237473,"journal":{"name":"Journal of Spatial Econometrics","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Spatial Econometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s43071-021-00012-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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