Many problems of statistical inference can be solved, using spectral decomposition
of stochastic processes. The principal difficulty with this approach is that eigenproblems
are notoriously hard to solve in a reasonably explicit form. In this talk I will survey some
recent results on the exact asymptotics in eigenproblems for fractional processes and
discuss their applications to parameter estimation and filtering.