Abstract
A bivariate densities can be represented as a density level set containing a fixed amount of probability (0.75, for instance). Then a functional dataset where the observations are bivariate density functions can be analyzed as if the functional data are density level sets.We compute distances between sets and perform standard Multidimensional Scaling. This methodology is applied to analyze electoral results.
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Delicado, P. (2011). Dimensionality Reduction for Samples of Bivariate Density Level Sets: an Application to Electoral Results. In: Ferraty, F. (eds) Recent Advances in Functional Data Analysis and Related Topics. Contributions to Statistics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2736-1_11
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DOI: https://doi.org/10.1007/978-3-7908-2736-1_11
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Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-7908-2735-4
Online ISBN: 978-3-7908-2736-1
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