AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Ornstein-Uhlenbeck Process Driven by Multiple Dichotomous Noises
We study a generalized Ornstein-Uhlenbeck process driven by a superposition of $K$ independent dichotomous noises with arbitrary fixed amplitudes and switching rates. Unlike the classical Ornstein-Uhlenbeck process driven by equilibrium Gaussian white noise, the present system is governed by bounded nonequilibrium fluc...