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Bayesian Semiparametric Density Deconvolution in the Presence of Conditionally Heteroscedastic Measurement Errors
We consider the problem of estimating the density of a random variable when precise measurements on the variable are not available, but replicated proxies contaminated with measurement error are available for sufficiently many subjects. Under the assumption of additive measurement errors this reduce...
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| Publicado no: | J Comput Graph Stat |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4219602/ https://ncbi.nlm.nih.gov/pubmed/25378893 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2014.899237 |
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