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This paper deals with the problem of nonlinear set-membership identification. To solve this problem, a Bayesian approach is introduced and compared with the subpavings approach. The paper illustrates how the Bayesian approach can be used to determine the feasible parameter set and to check the consistency between measurement data and model. In particular, it is shown that the Bayesian approach, assuming...
As abstract representations of relational data, graphs and networks find wide use in a variety of fields, particularly when working in non-Euclidean spaces. Yet for graphs to be truly useful in in the context of signal processing, one ultimately must have access to flexible and tractable statistical models. One model currently in use is the Chung-Lu random graph model, in which edge probabilities...
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