author keywords: Cholesky decomposition; diffusion tensor imaging; geostatistical modeling; positive‐ definite matrix; spatial random fields; spatial Wishart process

MeSH headings : Computer Simulation; Diffusion Tensor Imaging; Normal Distribution; Stochastic Processes

TL;DR: An approximation method is proposed to obtain a feasible Cholesky decomposition model, which is shown to be asymptotically equivalent to the spatial Wishart process model and to produce reliable inference and improved performance, compared to other methods. (via Semantic Scholar)