Gradient Estimation for Regenerative ProcessesP. Glasserman and P. W. Glynn Proceedings of the 1992 Winter Simulation Conference, 280-288 (1992) This paper is concerned with gradient estimation techniques for steady-state performance measures associated with regenerative stochastic processes. The principal emphasis is on the discussion of conditions under which likelihood ratio methods and infinitesimal perturbation analysis techniques are valid.
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