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The first book to examine weakly stationary random fields and their connections with invariant subspaces (an area associated with functional analysis). It reviews current literature, presents central issues and most important results within the area. For advanced Ph.D. students, researchers, especially those conducting research on Gaussian theory.
Stochastic Analysis for Gaussian Random Processes and Fields
Stochastic Processes: Harmonizable Theory
Random Fields for Spatial Data Modeling
Stationary Stochastic Processes
Weak Convergence of Stochastic Processes
Select Topics in Signal Analysis
Spatiotemporal Random Fields
Hilbert And Banach Space-valued Stochastic Processes
Theory of Stochastic Objects
Introduction to Random Currents and Their Applications
Multidimensional Stationary Time Series
Theory of Spatial Statistics
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