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Combining local and global smoothing in multivariate density estimation
Nonparametric 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. Consider estimation of the probability density function f(·) of a continuous random variable in cases when a parametric formulation for f is not considered appropriate. Given a random sample drawn form f, a variety of nonparametric estimation methods are available.
1610.02372
Country:
- North America > United States > New York (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Europe > Italy > Sardinia (0.04)
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