Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields

• Main Authors: Xu, Y., Choi, J., Dass, S., Maiti, T.
• Format: Article
• Published: 2013
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887966966&doi=10.1016%2fj.automatica.2013.09.008&partnerID=40&md5=0759fe9c10f9c894698afc0e8fb83cb4; http://eprints.utp.edu.my/32565/
• Institution: Universiti Teknologi Petronas

In this paper, we consider the problem of predicting a large scale spatial field using successive noisy measurements obtained by mobile sensing agents. The physical spatial field of interest is discretized and modeled by a Gaussian Markov random field (GMRF) with uncertain hyperparameters. From a Ba...