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

@article{Xu2012EfficientBS,
  title={Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields},
  author={Yunfei Xu and Jongeun Choi and Sarat Dass and Tapabrata Maiti},
  journal={2012 American Control Conference (ACC)},
  year={2012},
  pages={2171-2176}
}
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 unknown hyperparameters. From a Bayesian perspective, we design a sequential prediction algorithm to exactly compute the predictive inference of the random field. The prediction algorithm correctly takes into account the uncertainty in… CONTINUE READING
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