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