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These effects varied according to stocks that were showed in Appendix 1.
We implement the Gibbs sampling scheme showed in Appendix 1 and from a visual assessment of the Gibbs output we have that convergence has been achieved in Appendix 2. The ergodic means are nonetheless pretty stable in the middle of the plots and the decay of the empirical autocorrelation function is very fast.
An algorithm always returning minimal hyperpaths cannot be polynomial since the problem of finding a minimal hyperpath containing a set R f of hyperarcs is an NP-complete problem as showed in Appendix A.2.
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as shown in Appendix.
This is shown in Appendix.
The details are shown in Appendix C.
The results are shown in Appendix C.
These quartiles are shown in Appendix.
As shown in Appendix A (18).
Data is shown in Appendix 1.
The detailed derivation is shown in Appendix.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com