DC Field | Value | Language |
---|---|---|
dc.contributor.author | Fienberg, SE | ko |
dc.contributor.author | Kim, Sung-Ho | ko |
dc.date.accessioned | 2013-02-27T10:23:04Z | - |
dc.date.available | 2013-02-27T10:23:04Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 1998-07 | - |
dc.identifier.citation | JOURNAL OF STATISTICAL PLANNING AND INFERENCE, v.70, no.2, pp.241 - 254 | - |
dc.identifier.issn | 0378-3758 | - |
dc.identifier.uri | http://hdl.handle.net/10203/67967 | - |
dc.description.abstract | The calibration of forecasts for a sequence of events has an extensive literature. Since calibration does not ensure 'good' forecasts, the notion of refinement was introduced to provide a structure into which methods for comparing well-calibrated forecasters could be embedded. In this paper we apply these two concepts, calibration and refinement, to tree-structured statistical probability prediction systems by viewing predictions in terms of the expected value of a response variable given the values of a set of explanatory variables. When all of the variables are categorical, we show that, under suitable conditions, branching at the terminal node of a tree by adding another explanatory variable yields a tree with more refined predictions. (C) 1998 Elsevier Science B.V. All rights reserved. | - |
dc.language | English | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.subject | EMPIRICAL PROBABILITY | - |
dc.title | Calibration and refinement for classification trees | - |
dc.type | Article | - |
dc.identifier.wosid | 000074828400005 | - |
dc.identifier.scopusid | 2-s2.0-0032527324 | - |
dc.type.rims | ART | - |
dc.citation.volume | 70 | - |
dc.citation.issue | 2 | - |
dc.citation.beginningpage | 241 | - |
dc.citation.endingpage | 254 | - |
dc.citation.publicationname | JOURNAL OF STATISTICAL PLANNING AND INFERENCE | - |
dc.contributor.localauthor | Kim, Sung-Ho | - |
dc.contributor.nonIdAuthor | Fienberg, SE | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | calibration | - |
dc.subject.keywordAuthor | categorical forecasts | - |
dc.subject.keywordAuthor | classification trees | - |
dc.subject.keywordAuthor | prediction systems | - |
dc.subject.keywordAuthor | probability forecasters | - |
dc.subject.keywordAuthor | refinement | - |
dc.subject.keywordPlus | EMPIRICAL PROBABILITY | - |
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