Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/100624
Type: Artigo de periódico
Title: Prior Selection By An Adaptive Smoothing Splines Approach
Author: Dias R.
Abstract: Under the context of empirical bayes a prior density estimate is obtained by using B-splines. In this approach, there are two smoothing parameters, the number of basis functions and usual regularization parameter found in the context of penalized least squares problem. An algorithm is provided to get estimates of the two parameter as well as the prior density. © 1998 VSP.
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Rights: fechado
Identifier DOI: 
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84868019315&partnerID=40&md5=5480de34ddb6c2a4957bc89efb4d327c
Date Issue: 1998
Appears in Collections:Unicamp - Artigos e Outros Documentos

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