Bayesian multi-resolution modeling for spatially replicated data sets with application to forest biomass data-Reference-Cited by-同舟云学术

Bayesian multi-resolution modeling for spatially replicated data sets with application to forest biomass data

Published:2007-10 Issue:10 Volume:137 Page:3193-3205
ISSN:0378-3758
Container-title:Journal of Statistical Planning and Inference
language:en
Short-container-title:Journal of Statistical Planning and Inference

Author:

Banerjee Sudipto,Finley Andrew

Publisher

Elsevier BV

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Reference16 articles.

1. Banerjee, S., Johnson, G.A., 2006. Coregionalized single- and multi-resolution spatially-varying growth curve modelling with application to weed growth. Biometrics 61, 617–625.

2. Directional rates of change under spatial process models;Banerjee;J. Amer. Statist. Assoc.,2003

3. Hierarchical Modeling and Analysis for Spatial Data;Banerjee,2004

4. Objective Bayesian analysis of spatially correlated data;Berger;J. Amer. Statist. Assoc.,2001

5. Geostatistics: Modelling Spatial Uncertainty;Chilés,1999

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