Abstract
The two main techniques of probability density estimation on symmetric spaces are reviewed in the hyperbolic case. For computational reasons we chose to focus on the kernel density estimation and we provide the expression of Pelletier estimator on hyperbolic space. The method is applied to density estimation of reflection coefficients derived from radar observations.
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CITATION STYLE
Chevallier, E., Barbaresco, F., & Angulo, J. (2015). Probability density estimation on the hyperbolic space applied to radar processing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9389, pp. 753–761). Springer Verlag. https://doi.org/10.1007/978-3-319-25040-3_80
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