Načítá se...
Bayesian spatial transformation models with applications in neuroimaging data
The aim of this paper is to develop a class of spatial transformation models (STM) to spatially model the varying association between imaging measures in a three-dimensional (3D) volume (or 2D surface) and a set of covariates. Our STMs include a varying Box-Cox transformation model for dealing with...
Uloženo v:
| Hlavní autoři: | , , |
|---|---|
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2013
|
| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3864982/ https://ncbi.nlm.nih.gov/pubmed/24128143 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12085 |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!
|