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Generalized Look-Ahead Methods for Computing Stationary Densities

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Authors

Braun, R Anton
Li, Huiyu
Stachurski, John

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Institute for Operations Research and the Management Sciences (INFORMS)

Abstract

The look-ahead estimator is used to compute densities associated with Markov processes via simulation. We study a framework that extends the look-ahead estimator to a broader range of applications. We provide a general asymptotic theory for the estimator, where both L1 consistency and L2 asymptotic normality are established. The L2 asymptotic normality implies pn convergence rates for L2 deviation.

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Source

Mathematics of Operations Research

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Restricted until

2037-12-31