Approximate Bayesian inference for hierarchical Gaussian Markov random field models

Journal article

Peer reviewed

Havard Rue and Sara Martino

Journal of statistical planning and inference, Vol.137(10), pp.3177-3192

01/10/2007

Abstract

Distribution theory

Exact sciences and technology

General topics

Mathematics

Parametric inference

Probability and statistics

Probability theory and stochastic processes

Sciences and techniques of general use

Statistics

Stochastic processes

1 Record Views

Title: Approximate Bayesian inference for hierarchical Gaussian Markov random field models
Creators - without role: Havard Rue - Norwegian University of Science and Technology
Sara Martino - Norwegian University of Science and Technology
Publication Details: Journal of statistical planning and inference, Vol.137(10), pp.3177-3192
Publisher: Elsevier Science
Identifiers: 9942239408331
Academic Unit: King Abdullah University of Science & Technology
Language: English
Resource Type: Journal article