Online Resource
Walter de Gruyter GmbH
;
2015
In:
Analele Universitatii "Ovidius" Constanta - Seria Matematica Vol. 23, No. 3 ( 2015-11-1), p. 151-166
In:
Analele Universitatii "Ovidius" Constanta - Seria Matematica, Walter de Gruyter GmbH, Vol. 23, No. 3 ( 2015-11-1), p. 151-166
Abstract:
Non-parametric density estimation with shape restrictions has witnessed a great deal of attention recently. We consider the maximum-likelihood problem of estimating a log-concave density from a given finite set of empirical data and present a computational approach to the resulting optimization problem. Our approach targets the ability to trade-off computational costs against estimation accuracy in order to alleviate the curse of dimensionality of density estimation in higher dimensions.
Type of Medium:
Online Resource
ISSN:
1844-0835
DOI:
10.1515/auom-2015-0053
Language:
English
Publisher:
Walter de Gruyter GmbH
Publication Date:
2015
detail.hit.zdb_id:
2375753-X
SSG:
17,1
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