A wide class of stochastic processes are described in the non-Markovian Generalized Master Equations (GME) framework . Many techniques are based on the Markovian assumption of weak memory effects . When the theory goes beyond the weak coupling regime or when the intrinsic non-Markovian nature of the bath plays a role, the number of known approaches dramatically drop. We briefly review the approach we developed to characterize fluctuations in the presence of non-Markovian effects. We will make use of the concept of Full Counting Statistics (FCS)  and we show how some of the Markovian techniques developed for the GME  are generalizable to the non-Markovian case . We present the recursive method which unifies, extending, earlier approaches making possible the calculation of very high order cumulants, cross-correlators and finite frequency noise . With this machinery we will investigate the physics of coherent nanodevices and nanomechanical systems.
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