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Non-homogeneous Random Walks - Menshikov, Mikhail (University of Durham) a Popov, Serguei (Universidade Estadual de Campinas, Brazil) a Wade, Andrew (University of Durham)

A modern presentation of the 'Lyapunov function' method applied to near-critical stochastic systems, exemplified by non-homogeneous random walks. Aimed at researchers and research students in probability theory or a neighbouring field, the material will be accessible to anyone with some familiarity with the theory of Markov chains and discrete-time martingales.

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