Theoretical investigation of an exploratory approach for log-density in scale-space
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Huh, Jib | ko |
| dc.contributor.author | Park, Cheolwoo | ko |
| dc.date.accessioned | 2021-06-11T01:30:27Z | - |
| dc.date.available | 2021-06-11T01:30:27Z | - |
| dc.date.created | 2021-06-11 | - |
| dc.date.created | 2021-06-11 | - |
| dc.date.created | 2021-06-11 | - |
| dc.date.issued | 2015-12 | - |
| dc.identifier.citation | STATISTICS & PROBABILITY LETTERS, v.107, pp.272 - 279 | - |
| dc.identifier.issn | 0167-7152 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/285755 | - |
| dc.description.abstract | We develop an exploratory data analysis tool in scale-space to discover significant features of a log-density using a local likelihood approach with local polynomial regression estimators. We study its asymptotic properties at multiple locations and levels of resolution. (C) 2015 Elsevier B.V. All rights reserved. | - |
| dc.language | English | - |
| dc.publisher | ELSEVIER | - |
| dc.title | Theoretical investigation of an exploratory approach for log-density in scale-space | - |
| dc.type | Article | - |
| dc.identifier.wosid | 000364607300038 | - |
| dc.identifier.scopusid | 2-s2.0-84942114888 | - |
| dc.type.rims | ART | - |
| dc.citation.volume | 107 | - |
| dc.citation.beginningpage | 272 | - |
| dc.citation.endingpage | 279 | - |
| dc.citation.publicationname | STATISTICS & PROBABILITY LETTERS | - |
| dc.identifier.doi | 10.1016/j.spl.2015.09.003 | - |
| dc.contributor.localauthor | Park, Cheolwoo | - |
| dc.contributor.nonIdAuthor | Huh, Jib | - |
| dc.description.isOpenAccess | N | - |
| dc.type.journalArticle | Article | - |
| dc.subject.keywordAuthor | Asymptotic theory | - |
| dc.subject.keywordAuthor | Exploratory data analysis | - |
| dc.subject.keywordAuthor | Local linear smoothing | - |
| dc.subject.keywordAuthor | Log-density estimation | - |
| dc.subject.keywordAuthor | Scale-space | - |
| dc.subject.keywordPlus | STATISTICAL-INFERENCE | - |
| dc.subject.keywordPlus | TIME-SERIES | - |
| dc.subject.keywordPlus | SIZER | - |
| dc.subject.keywordPlus | FEATURES | - |
| dc.subject.keywordPlus | VISUALIZATION | - |
| dc.subject.keywordPlus | REGRESSION | - |
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