Random processes by example
This volume first introduces the mathematical tools necessary for understanding and working with a broad class of applied stochastic models. The toolbox includes Gaussian processes, independently scattered measures such as Gaussian white noise and Poisson random measures, stochastic integrals, compo...
Singapore ; Hackensack, N.J. :
World Scientific Pub. Co.,
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