Random fields and Gaussian processes constitute fundamental frameworks in modern probability theory and spatial statistics, providing robust tools for modelling complex dependencies over space and ...
SPECTRAL ANALYSIS OF MARKOV KERNELS AND APPLICATION TO THE CONVERGENCE RATE OF DISCRETE RANDOM WALKS
Journal of Applied Probability and Advances in Applied Probability have for four decades provided a forum for original research and reviews in applied probability, mapping the development of ...
Fractal geometry investigates complex shapes that exhibit self-similarity across multiple scales, while spectral analysis focuses on the study of the eigenvalues and eigenfunctions of operators, most ...
This is a preview. Log in through your library . Abstract We give (i) the Cramér power spectral measure of the general shot noise process with random excitation and non-Poisson stationary driving ...
CATALOG DESCRIPTION: Fundamentals of random variables; mean-squared estimation; limit theorems and convergence; definition of random processes; autocorrelation and stationarity; Gaussian and Poisson ...
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