ロード中...
Bayesian semiparametric model with spatially-temporally varying coefficients selection
In spatio-temporal analysis, the effect of a covariate on the outcome usually varies across areas and time. The spatial configuration of the areas may potentially depend on not only the structured random intercept but also spatially varying coefficients of covariates. In addition, the normality assu...
保存先:
| 主要な著者: | , , , , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2013
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3744634/ https://ncbi.nlm.nih.gov/pubmed/23526312 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5789 |
| 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!
|