{"data":{"id":"10.6084/m9.figshare.1006465","type":"dois","attributes":{"doi":"10.6084/m9.figshare.1006465","prefix":"10.6084","suffix":"m9.figshare.1006465","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Bové, Daniel Sabanés","nameType":"Personal","givenName":"Daniel Sabanés","familyName":"Bové","affiliation":[],"nameIdentifiers":[]},{"name":"Held, Leonhard","nameType":"Personal","givenName":"Leonhard","familyName":"Held","affiliation":[],"nameIdentifiers":[]},{"name":"Kauermann, Göran","nameType":"Personal","givenName":"Göran","familyName":"Kauermann","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Objective Bayesian Model Selection in Generalized Additive Models With Penalized Splines"}],"publisher":"Taylor \u0026 Francis","container":{},"publicationYear":2015,"subjects":[{"subject":"Inorganic Chemistry"},{"subject":"FOS: Chemical sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Chemical sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Cancer"},{"subject":"Mathematics"},{"subject":"FOS: Mathematics","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Mathematics","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Information and Computing Sciences"},{"subject":"Biological Sciences"},{"subject":"Ecology"},{"subject":"FOS: Biological sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Biological sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Chemistry"},{"subject":"Physiology"},{"subject":"Genetics"}],"contributors":[],"dates":[{"date":"2014-04-24","dateType":"Created"},{"date":"2015-12-02","dateType":"Updated"},{"date":"2015","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1080/10618600.2014.912136","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["3383723 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"We propose an objective Bayesian approach to the selection of covariates and their penalized splines transformations in generalized additive models. The methodology is based on a combination of continuous mixtures of \u003ci\u003eg\u003c/i\u003e-priors for model parameters and a multiplicity-correction prior for the models themselves. We introduce our approach in the normal model and extend it to nonnormal exponential families. A simulation study and an application with binary outcome is provided. An efficient implementation is available in the R package hypergsplines. Supplementary materials for this article are available online.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://tandf.figshare.com/articles/dataset/Objective_Bayesian_Model_Selection_in_Generalized_Additive_Models_With_Penalized_Splines/1006465","contentUrl":null,"metadataVersion":3,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":0,"citationsOverTime":[],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2014-04-24T21:27:29.000Z","registered":"2014-04-24T21:27:30.000Z","published":"2015","updated":"2020-09-04T23:37:28.000Z"},"relationships":{"client":{"data":{"id":"figshare.ars","type":"clients"}},"provider":{"data":{"id":"otjm","type":"providers"}},"media":{"data":{"id":"10.6084/m9.figshare.1006465","type":"media"}},"references":{"data":[]},"citations":{"data":[]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[]}}}}