Carregant...
A Bayesian Nonparametric Approach to Causal Inference on Quantiles
We propose a Bayesian nonparametric approach (BNP) for causal inference on quantiles in the presence of many confounders. In particular, we define relevant causal quantities and specify BNP models to avoid bias from restrictive parametric assumptions. We first use Bayesian additive regression trees...
Guardat en:
| Publicat a: | Biometrics |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2018
|
| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7551426/ https://ncbi.nlm.nih.gov/pubmed/29478267 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12863 |
| Etiquetes: |
Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|