Bandwidth choice and convergence rates in density estimation with long-range dependent data

Abstract

The authors discuss the optimal bandwidth choice and optimal convergence rates for density estimation with dependent data, as the amount of information in the sample is altered by adjusting the range of dependence. They assume that data are observed from a stationary stochastic process that may be taken to be an unknown function of a Gaussian process.