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To improve the choice of which partial posterior approximation to use, the notion of approximate statistical sufficiency can be invoked to try to choose more effective summary statistics [ 18].
It is an ongoing discussion and probably undecidable as lacking a criterion of approximation quality which if any at all is the correct diffusion approximation to use.
In fact, from (5) and (6), we have begin{aligned} alpha = {A_2 v s over 2 {dot{e}}} end{aligned} (94 For nonoverlapping regions, it is a good approximation to use tractions produced by pointlike dislocations (e.g. Dragoni and Lorenzano 2016) begin{aligned} s = k a^{-3} end{aligned} (95 where (k=5/(12pi )) for strike slip and (k=1/ 6pi )) for dip slip.
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One aspect of our approximation is to use homologs to Drosophila proteins to characterize proteomes, implicitly assuming that function follows structure.
This obliges us to use approximations and bounds to find the waiting time of LP and HP packets.
When is large, we have to use approximation.
One of the methods to reduce computing costs in stochastic optimization is to use approximation techniques.
For small intervals of three consecutive concentrations, it is sufficient to use approximation via a linear function.
As little has been formalized in this field so far, we have to use approximations.
The best solution is to use an approximation like "art" and supplement it with notes.
We have to use particular approximation algorithms [3, 25].
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