Bayesian modeling and analysis for gradients in spatiotemporal processes

Publisher： John Wiley & Sons Inc

E-ISSN： 1541-0420|71|3|575-584

ISSN： 0006-341x

Source： BIOMETRICS, Vol.71, Iss.3, 2015-09, pp. : 575-584

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Bayesian modeling and analysis for gradients in spatiotemporal processes

By Quick Harrison   Banerjee Sudipto   Carlin Bradley P.  

Biometrics, Vol. 71, Iss. 3, 2015-09 ,pp. : 575-584

Wiley-Blackwell

Access to resources Recommend Favorite

Efficient Bayesian hierarchical functional data analysis with basis function approximations using Gaussian–Wishart processes

By  

BIOMETRICS, Vol. 73, Iss. 4, 2017-12 ,pp. : 1082-1091

John Wiley & Sons Inc

Access to resources Recommend Favorite

Multiple attribute Bayesian analysis of adaptive ecosystem management

By Prato T.  

Ecological Modelling, Vol. 133, Iss. 3, 2000-09 ,pp. : 181-193

Elsevier

Access to resources Recommend Favorite

Bayesian predictive modeling for genomic based personalized treatment selection

By  

BIOMETRICS, Vol. 72, Iss. 2, 2016-06 ,pp. : 575-583

John Wiley & Sons Inc

Access to resources Recommend Favorite

A Bayesian hierarchical framework for modeling brain connectivity for neuroimaging data

By  

BIOMETRICS, Vol. 72, Iss. 2, 2016-06 ,pp. : 596-605

John Wiley & Sons Inc

Access to resources Recommend Favorite