“…This relation could give us a natural way to study properties such as symmetries of partial differential equation directly studying what change in the underlying stochastic process whenever we apply a symmetric transformation. It is worth to mention that such an approach has been extensively used during last decades by a number of different points of view, see, e.g., [13] concerning the analysis of nonlinear PDEs, [3,4,8] to what concerns applications in mathematical finance, also in the light of the following papers [6,7] and references therein, and also to simplify certain tipe of computational tasks that arise in the field of multivariate statistics when huge quantities of data have to be taken into account, see, e.g., [10,11] and references therein. It follows that the development of a general theory that relates Lie theory of symmetries for PDEs with the transformation of the stochastic process that the symmetry could bring to it, could potentially bring new methods to better analyse relevant models characterizing heterogeneous fields, as in the case, e.g., of meteorology, finance, biology, etc.…”