Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/11976
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DC Field | Value | Language |
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dc.contributor.author | Lv, Z | - |
dc.contributor.author | Zhu, H | - |
dc.contributor.author | Yu, K | - |
dc.date.accessioned | 2016-01-29T15:23:39Z | - |
dc.date.available | 2014-08 | - |
dc.date.available | 2016-01-29T15:23:39Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Statistics & Probability Letters, 91 pp. 90 - 97, (2014) | en_US |
dc.identifier.issn | C | - |
dc.identifier.issn | C | - |
dc.identifier.issn | 0167-7152 | - |
dc.identifier.uri | http://www.sciencedirect.com/science/article/pii/S0167715214001448 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/11976 | - |
dc.description.abstract | We focus on the problem of simultaneous variable selection and estimation for nonlinear models based on modal regression (MR), when the number of coefficients diverges with sample size. With appropriate selection of the tuning parameters, the resulting estimator is shown to be consistent and to enjoy the oracle properties. | en_US |
dc.format.extent | 90 - 97 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.subject | Variable selection | en_US |
dc.subject | Asymptotic normality | en_US |
dc.subject | Oracle properties | en_US |
dc.subject | Nonlinear models | en_US |
dc.subject | Modal regression | en_US |
dc.title | Robust variable selection for nonlinear models with diverging number of parameters | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/j.spl.2014.04.013 | - |
dc.relation.isPartOf | Statistics & Probability Letters | - |
pubs.notes | publisher: Elsevier articletitle: Robust variable selection for nonlinear models with diverging number of parameters journaltitle: Statistics & Probability Letters articlelink: http://dx.doi.org/10.1016/j.spl.2014.04.013 content_type: article copyright: Copyright © 2014 Elsevier B.V. All rights reserved. | - |
pubs.notes | publisher: Elsevier articletitle: Robust variable selection for nonlinear models with diverging number of parameters journaltitle: Statistics & Probability Letters articlelink: http://dx.doi.org/10.1016/j.spl.2014.04.013 content_type: article copyright: Copyright © 2014 Elsevier B.V. All rights reserved. | - |
pubs.publication-status | Published | - |
pubs.publication-status | Published | - |
pubs.volume | 91 | - |
Appears in Collections: | Dept of Mathematics Research Papers |
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Fulltext.pdf | 278.78 kB | Adobe PDF | View/Open |
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