Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/44044
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Applied Mathematics | en_US |
dc.creator | Jiang, B | en_US |
dc.creator | Leng, C | en_US |
dc.date.accessioned | 2016-06-07T06:37:46Z | - |
dc.date.available | 2016-06-07T06:37:46Z | - |
dc.identifier.issn | 0167-7152 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/44044 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2015 Elsevier B.V. All rights reserved. | en_US |
dc.rights | © 2015. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.rights | The following publication Jiang, B., & Leng, C. (2016). High dimensional discrimination analysis via a semiparametric model. Statistics & Probability Letters, 110, 103-110 is available at https://doi.org/10.1016/j.spl.2015.11.012 | en_US |
dc.subject | Bayes rule | en_US |
dc.subject | Linear discrimination analysis | en_US |
dc.subject | Monotone transformation | en_US |
dc.subject | Semiparametric discriminant analysis | en_US |
dc.subject | Sparsity | en_US |
dc.title | High dimensional discrimination analysis via a semiparametric model | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 103 | en_US |
dc.identifier.epage | 110 | en_US |
dc.identifier.volume | 110 | en_US |
dc.identifier.doi | 10.1016/j.spl.2015.11.012 | en_US |
dcterms.abstract | We propose a semiparametric linear programming discriminant (SLPD) rule for high dimensional discriminant analysis under a semiparametric model. As an extension, we further propose a two-stage SLPD (TSLPD) rule, which can have better classification performance under mild sparsity assumptions. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Statistics and probability letters, Mar. 2016, v. 110, p. 103-110 | en_US |
dcterms.isPartOf | Statistics and probability letters | en_US |
dcterms.issued | 2016-03 | - |
dc.identifier.isi | WOS:000374627200013 | - |
dc.identifier.scopus | 2-s2.0-84951759751 | - |
dc.identifier.rosgroupid | 2015000343 | - |
dc.description.ros | 2015-2016 > Academic research: refereed > Publication in refereed journal | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | AMA-0589 | - |
dc.description.fundingSource | Self-funded | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 6602734 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Jiang_High_Dimensional_Discrimination.pdf | Pre-Published version | 1.02 MB | Adobe PDF | View/Open |
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