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|Title:||Prior selection by an adaptive smoothing splines approach|
|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 andusual regularization parameter found in the context of penalized least squares problem. An algorithmis provided to get estimates of the two parameter as well as the prior density|
|Appears in Collections:||IMECC - Artigos e Outros Documentos|
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