Abstract
The source of uncertainty in hypothesis testing can either be the distribution functions conditioned on each hypothesis, or the a priori probabilities as introduced in Chap. 2. In this chapter, implications of the uncertainty caused by an unknown a priori probability is exploited for decentralized detection networks with (DDN-WF) and without a fusion center (DDN-WoF), which are illustrated in Figs. 7.1 and 7.2.
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Gül, G. (2017). Minimax Decentralized Hypothesis Testing. In: Robust and Distributed Hypothesis Testing. Lecture Notes in Electrical Engineering, vol 414. Springer, Cham. https://doi.org/10.1007/978-3-319-49286-5_7
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DOI: https://doi.org/10.1007/978-3-319-49286-5_7
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