Reference : Bayesian density estimation from grouped continuous data
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Mathematics
http://hdl.handle.net/2268/24258
Bayesian density estimation from grouped continuous data
English
Lambert, Philippe mailto [Université de Liège - ULg > Institut des sciences humaines et sociales > Méthodes quantitatives en sciences sociales >]
Eilers, Paul H.C. [Universiteit Utrecht > Faculty of Social and Behavioural Sciences > > >]
2009
Computational Statistics & Data Analysis
Elsevier Science
53
1388-1399
International
0167-9473
Amsterdam
The Netherlands
[en] Density estimation ; Grouped data ; P-splines
[en] Grouped data occur frequently in practice, either because of limited resolution of
instruments, or because data have been summarized in relatively wide bins. A
combination of the composite link model with roughness penalties is proposed to
estimate smooth densities from such data in a Bayesian framework. A simulation
study is used to evaluate the performances of the strategy in the estimation of a
density, of its quantiles and rst moments. Two illustrations are presented: the rst
one involves grouped data of lead concentrations in the blood and the second one
the number of deaths due to tuberculosis in The Netherlands in wide age classes.
FSR research grant nr FSRC-08/42 from the Uni- versity of Liège
CREATION D’OUTILS STATISTIQUES POUR L’ANALYSE DE DONNEES D’ENQUETES CENSUREES PAR INTERVALLE
Researchers
http://hdl.handle.net/2268/24258
10.1016/j.csda.2008.11.022
http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V8V-4V2NNW0-1&_user=532038&_rdoc=1&_fmt=&_orig=search&_sort=d&_docanchor=&view=c&_acct=C000026659&_version=1&_urlVersion=0&_userid=532038&md5=7c5c73444532f346f9e71abb9aef02c1

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