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Alternatively, a bootstrap approach can be followed.
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In future research, a Bootstrap-Malmquist approach can be applied for more exact results.
The approach can be used to estimate the values of parameters from parametric models for other similar applications using the bootstrap method.
Two approaches can be envisioned.
Bootstrap solutions can be found in 11 and 12.
In the latter case, bootstrap support can be misleading.
In principle, the bootstrap strategy can be expanded accordingly.
Thus, the alignments cannot be partitioned in consistent "columns" of characters, and neither Susko's method nor resampling approaches such as bootstrapping can be applied.
Note however that such a bootstrap can be computationally heavy, for example in the G-computation approach when averaging over all individual predictions.
Only works with bootstrap 2.3.2 and can be integrated into default BOINC with some effort.
The parametric bootstrap can be used for the efficient computation of Bayes posterior distributions.
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