Bandwidth Selection for Kernel Conditional Density Estimation

David M. Bashtannyk and Rob J. Hyndman

No 267481, Department of Econometrics and Business Statistics Working Papers from Monash University, Department of Econometrics and Business Statistics

Abstract: We consider bandwidth selection for the kernel estimator of conditional density with one explanatory variable. Several bandwidth selection methods are derived ranging from fast rules-of-thumb which assume the underlying densities are known to relatively slow procedures which use the bootstrap. The methods are compared and a practical bandwidth selection strategy which combines the methods is proposed. The methods are compared using two simulation studies and a real data set.

Keywords: Research; Methods/Statistical; Methods (search for similar items in EconPapers)
Pages: 23
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Persistent link: https://EconPapers.repec.org/RePEc:ags:monebs:267481

DOI: 10.22004/ag.econ.267481

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