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Combining local and global smoothing in multivariate density estimation
Published 7 Oct 2016 in stat.ME and stat.ML | (1610.02372v1)
Abstract: Non-parametric estimation of a multivariate density estimation is tackled via a method which combines traditional local smoothing with a form of global smoothing but without imposing a rigid structure. Simulation work delivers encouraging indications on the effectiveness of the method. An application to density-based clustering illustrates a possible usage.
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