| Morrell, D. R., and Stirling, W. C. Set-valued filtering and smoothing. IEEE Trans. Systems, Man, Cybernet. 21, 1 (January/February 1991), 184--193. |
.... convex sets of credal probabilities were considered [34] Allowing for sets of belief functions instead of single subjective probabilities is a departure to traditional approaches to decision theory [25] Morrell and Stirling extended this idea in the development of the set valued Kalman filter [46, 47, 49 51] and in set valued estimation [26, 42, 43, 48] In the control engineering context, it is also desirable to address the problem of sets of utilities. After defining the problem, three potential resolutions are presented. A discussion is then included. C.1 Convex Utilities In the formation of the ....
D. R. Morrell and W. C. Stirling. Set-valued filtering and smoothing. In Conference Record of Twenty-second Asilomar Conference on Signals, Systems, and Computers, pages 236--239, Oct 1988.
....first one through classical Bayesian inference and the second one through a decision process based on epistemic utility maximization ( 15] This leads to manipulate convex sets of probability distributions while retaining the Bayesian inference scheme. It has been applied to estimation problems ([19], 17] and decision problems ( 18] In [12] it is proposed a generalization to a non convex set based Bayesianism. 2.5 Back to the Increasing Ignorance On the one hand, approaches such as Interval valued Probabilities, Shafer s Theory of Evidence, or Set Based Bayesianism avoid the drawback ....
D. R. Morrel and W. C. Stirling, `Set-valued filtering and smoothing', IEEE Transactions on systems, man and cybernetics, 21(1), 184--193, (jan 1991).
No context found.
Morrell, D. R., and Stirling, W. C. Set-valued filtering and smoothing. IEEE Trans. Systems, Man, Cybernet. 21, 1 (January/February 1991), 184--193.
No context found.
MORRELL, D. R., AND STIRLING, W. C. Set-valued filtering and smoothing. IEEE Trans. Systems, Man, Cybernet. 21, 1 (January/February 1991), 184--193.
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