时间序列的带有乘积调整的半参密度估计

In this paper, we extend a class of semiparametric density estimators to time series context. The asymptotic theory and simulation study are discussed. Theoretical results and numerical comparison show that, in the time series case, the estimators in this class are better than, or at least competitive with, the traditional kernel density estimator in a broad class of densities.