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Location Estimation in Wireless Networks: A Bayesian Approach

Madigan, David B.; Ju, Wen-Hua; Krishnan, P.; Krishnakumar, A. S.; Zorych, Ivan

We present a Bayesian hierarchical model for indoor location estimation in wireless networks. We demonstrate that out model achieves accuracy that is similar to other published models and algorithms. By harnessing prior knowledge, our model drastically reduces the requirement for training data as compared with existing approaches.


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Statistica Sinica

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May 13, 2014
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