Metastability and random walks constitute central paradigms in the study of stochastic processes, providing deep insights into transient phenomena and long-term dynamics in complex systems.
Random walks constitute one of the most fundamental models in the study of stochastic processes, representing systems that evolve in a sequence of random steps. Their applications range from modelling ...
Brazilian Journal of Probability and Statistics, Vol. 34, No. 3 (2020), pp. 613-628 (16 pages) This paper deals with branching processes in varying environment with selection, where the offspring ...
Continuous time random walks, which generalize random walks by adding a stochastic time between jumps, provide a useful description of stochastic transport at mesoscopic scales. The continuous time ...
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