Fitting mixture importance sampling distributions via improved cross-entropy
In some rare-event settings, exponentially twisted distributions perform very badly. One solution to this problem is to use mixture distributions. However, it is difficult to select a good mixture distribution for importance sampling. We here introduce a
|Collections||ANU Research Publications|
|Source:||Proceedings - Winter Simulation Conference|
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