ロード中...
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...
保存先:
| 出版年: | J Comput Graph Stat |
|---|---|
| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2014
|
| 主題: | |
| オンライン･アクセス: | 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 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|