We propose a new multiplicative bias correction method for multivariate density estimation that improves over kernel methods with regard to bias reduction and variance reduction under some circumstances. The transformation kernel density estimation method is extended to the multivariate case and is combined with our proposal. The distribution theory for the bias reduction method, the transformation method, and the combined method is derived. The methods are applied to a fire insurance data set
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