For unbounded-timer models, resampling collapses time-sensitive importance functions to ordinary ones (d = d_r^O), and global-age pruning improves rare-event estimation accuracy.
In: Proceed- ings of Symposia in Applied Mathematics
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A Taxonomy of Distance Metrics for Time-Sensitive Importance Splitting: Timer Bounds, Resampling, and the Global Age
For unbounded-timer models, resampling collapses time-sensitive importance functions to ordinary ones (d = d_r^O), and global-age pruning improves rare-event estimation accuracy.