Decisions, Decisions: Noise and its Effects on Integral Monte Carlo   Algorithms
  In the present paper we examine the effects of noise on Monte Carlo algorithms, a problem raised previously by Kennedy and Kuti (Phys. Rev. Lett. {\bf 54}, 2473 (1985)). We show that the effects of introducing unbiased noise into the acceptance/rejection phase of the conventional Metropolis approach are surprisingly modest, and, to a significant degree, largely controllable. We present model condensed phase numerical applications to support these conclusions. 
J. D. Doll (Department of Chemistry, Brown University, Providence, RI)   and D. L. Freeman (Department of Chemistry, Univers...