Probability inequalities provide bounds on the likelihood that a stochastic process deviates from its expected behaviour. They encompass a broad class of results—such as exponential, sub-Gaussian and ...
Stochastic models based on random differential equations introduce uncertainty directly into the formulation of dynamical systems by treating parameters, initial conditions or external forcings as ...
CATALOG DESCRIPTION: Advanced topics in random processes: point processes, Wiener processes; Markov processes, spectral representation, series expansion of random processes, linear filtering, Wiener ...
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