  According to the fundamental work of Yu.V. Prokhorov, the general theory of
stochastic processes can be regarded as the theory of probability measures in
complete separable metric spaces. Since stochastic processes depending upon a
continuous parameter are basically probability measures on certain subspaces of
the space of all functions of a real variable, a particularly important case of
this theory is when the underlying metric space has a linear structure.
Prokhorov also provided a concrete metrisation of the topology of weak
convergence today known as the L{\'e}vy-Prokhorov distance. Motivated by these
facts, the famous Banach-Stone theorem, and some recent works related to
characterisations of onto isometries of spaces of Borel probability measures,
here we give a complete description of surjective isometries with respect to
the L{\'e}vy-Prokhorov metric in case when the underlying metric space is a
separable Banach space. Our result can be considered as a generalisation of L.
Moln\'ar's earlier Banach-Stone-type result which characterises onto isometries
of the space of all probability distribution functions on the real line wit
respect to the L\'evy distance. However, the present more general setting
requires the development of an essentially new technique.
