Rare-event Probability Estimation via Empirical Likelihood Maximization
We explore past and recent developments in rare-event probability estimation with a particular focus on a novel Monte Carlo technique Empirical Likelihood Maximization (ELM). This is a versatile method that involves sampling from a sequence of densities using MCMC and maximizing an empirical likelihood.
Huang, A., Botev, Z. I.
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