NONPARAMETRIC COVARIANCE MODEL.

ABSTRACT: There has been considerable attention on estimation of conditional variance function in the literature. We propose here a nonparametric model for conditional covariance matrix. A kernel estimator is developed accordingly, its asymptotic bias and variance are derived, and its asymptotic normality is established. A real data example is used to illustrate the proposed estimation procedure.

SUBMITTER: Yin J 

PROVIDER: S-EPMC3002111 | biostudies-literature | 2010

REPOSITORIES: biostudies-literature