It includes discrete and continuous random variables, their probability distributions and analytical and statistical methods for determining the mean, variance and higher order moments that ...

Introduction to random processes: distribution and density functions; Ensemble and time averages; correlation functions and spectral densities. Classification of random processes. Random processes ...

Modeling of nonstationary stochastic time series has found wide applications in speech processing, biomedical signal processing, seismology, and failure detection. Data from these fields have often ...

LOÏC HERVÉ, JAMES LEDOUX, SPECTRAL ANALYSIS OF MARKOV KERNELS AND APPLICATION TO THE CONVERGENCE RATE OF DISCRETE RANDOM WALKS, Advances in Applied Probability, Vol. 46, No. 4 (DECEMBER 2014), pp.

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 ...

Random Fields and Gaussian Processes Publication Trend The graph below shows the total number of publications each year in Random Fields and Gaussian Processes.