Title: Replicated spatial temporal data models
Authors: Yuzhen Zhou - University of Nebraska Lincoln (United States) [presenting]
Honglang Wang - Indiana University-Purdue University Indianapolis (United States)
Yingjie Li - Michigan State University (United States)
Abstract: Statistical models are considered for spatial temporal data with independent realizations, such as the functional magnetic resonance imaging (fMRI) data. A semiparametric covariance structure is proposed to model the space-time dependence. Functional principle component methods together with non-linear least squares methods are applied to model estimations. The inference of mean functions under the proposed space-time dependence structure is investigated. We offer simulation experiments to evaluate our proposed models.