Spatial Statistics and Computational Methods

This volume shows how sophisticated spatial statistical and computational methods apply to a range of problems of increasing importance for applications in science and technology. It introduces topics of current interest in spatial and computational statistics, which should be accessible to postgraduate students as well as to experienced statistical researchers.

Inhalt

Theory and Practice of Markov chain Monte Carlo (MCMC) Methods Model-based Geostatistics Simulation-based Inference for Spatial Point Processes * Low and High Level Bayesian Image Analysis