  In the present paper we examine the risk-sensitive and sampling issues
associated with the problem of calculating generalized averages. By combining
thermodynamic integration and Stationary Phase Monte Carlo techniques, we
develop an approach for such problems and explore its utility for a
prototypical class of applications.
