Nonparametric estimation of correlation functions in longitudinal and spatial data, with application to colon carcinogenesis experiments
纵向与空间数据相关函数的非参数估计及结肠致癌实验应用
In longitudinal and spatial studies, observations often demonstrate strong correlations that are stationary in time or distance lags, and the times or locations of these data being sampled may not be homogeneous. We propose a nonparametric estimator of the correlation function in such data, using kernel methods. We develop a pointwise asymptotic normal distribution for the proposed estimator, when the number of subjects is fixed and the number of vectors or functions within…