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With the development of deep space exploration, the requirements of accuracy and real time for navigation services become higher, so that the traditional ground based network can hardly meet the user's needs. And the accuracy of existing autonomous navigation method, such as celestial navigation, cannot meet the requirement either. In order to improve the performance of autonomous navigation for deep...
Big classes of directional distribution laws generalizing the von Mises distribution are provided in [4] following a general geometric offset approach in [20]. Once a distribution law is estimated for modeling a given data set, one of the next steps of statistical analysis is simulating from such distribution. The von Mises distribution was simulated in [1] using an acceptance-rejection simulation...
Probabilistic reasoning applied to dynamic spectrum sharing systems enables them to characterize situational uncertainties and determine acceptable spectrum access behaviors. Spectrum sharing systems may use sensing data to reduce situational uncertainty and improve spectrum sharing potential. Probabilistic reasoning approaches enable risk-constrained spectrum access, a concept in which spectrum sharing...
The Sequential Probability Ratio Test (SPRT) is a classical detector for problems with an unfixed sample size. Though it is optimal under some conditions, SPRT can be directly used only for a binary hypothesis with exactly known distributions. In this paper, sequential detection problem with an uncertain hypothesis distribution is considered, in which the uncertain distribution is formulated in a...
Belief fusion consists of taking into account multiple sources of belief about a domain of interest. This paper describes cumulative and averaging multi-source belief fusion in the formalism of subjective logic, which represent generalisations of binary-source belief fusion operators previously described. The advantage of this approach is that we can model and analyse belief fusion situations involving...
We propose a dynamic portfolio rebalancing approach within the mean-risk framework, in which the riskaversion coefficient is adjusted according to market trend information captured by a technical indicator. We employ Gini's Mean Difference as the risk measure and the moving average as the technical indicator. We conduct a thorough empirical evaluation with a rolling horizon approach using the S&P...
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