Framework for inferring empirical causal graphs from binary data to support multidimensional poverty analysis Back 22/09/2023 by นพพร ม่วงระย้า Metadata Share Document TitleFramework for inferring empirical causal graphs from binary data to support multidimensional poverty analysisAuthorAmornbunchornvej C., Surasvadi N., Plangprasopchok A., Thajchayapong S.AffiliationsNational Electronics and Computer Technology Center (NECTEC), NSTDA, Pathum Thani, 12120, ThailandTypeArticleSource TitleHeliyonISSN24058440Year2023Volume9Issue5Open AccessAll Open Access, Gold, GreenPublisherElsevier LtdDOI10.1016/j.heliyon.2023.e15947FormatPDFKeywordCausal Inference | Estimation statistics | Frequent pattern mining | Multidimensional Poverty IndexLicenseCC BYRightsAuthorsLinkhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85157977915&doi=10.1016%2fj.heliyon.2023.e15947&partnerID=40&md5=c2cd8760de024cd1253c114512320a06Publication SourceWOS Continue browsing Fabrication of Sacha Inchi Oil-Loaded Microcapsules Employing Natural-Templated Lycopodium clavatum Spores and Their Pressure-Stimuli Release Behavior GC-MS and Bioassay-Guided Isolation of Xanthones from Mammea siamensis Back to items list
