  We present a new approach to determine numerically the statistical behavior
of small-scale structures in hydrodynamic turbulence. Starting from the
functional integral representation of the random-force-driven Burgers equation
we show that Monte Carlo simulations allow us to determine the anomalous
scaling of high-order moments of velocity differences. Given the general
applicability of Monte Carlo methods, this opens up the possibility to address
also other systems relevant to turbulence within this framework.
