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Over time, the extent of variance reduction is measured.
The effective application of variance reduction techniques makes it possible to simulate rare events.
The factors were assessed by determining the extent of variance reduction experienced after data reconciliation.
The results confirm the dependence of variance reduction on measured variance as concluded in previous studies.
On the basis of the estimated covariances, the impact of an additional measurement in terms of variance reduction is calculated.
Firstly, the implementation of variance reduction techniques (VRTs), more specifically the incorporation of geometrical importance sampling, is discussed.
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Similar values of variance reductions appeared irrespective of depths.
Similar values of variance reductions are shown in the right subfigure of Fig. 6.
Furthermore, although variance reduction decreased at depths below oceanic Moho of the PHS (19 km), similar values of variance reductions appeared at depths above the oceanic Moho.
Spatial distributions of variance reductions (Fig. 5) showed laterally asymmetric patterns, which reflect complex effects of 3D heterogeneous structures in the model (upper panels of Fig. 3).
We note that all of these uncertainties can be visualized in the source-type diagram as scatter plots (e.g., Aso and Ide 2014), density contours, or the distribution of variance reductions (e.g., Nayak and Dreger 2015).
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