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The choices presented here result in a model that is applicable to a range of coastal problems from short time-scale tsunami propagation and runup, to long time-scale flows.
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That is the choice presented here by the world heavyweight championship between George Foreman and Muhammad Ali due to start at 4am local time tomorrow (3am in London).
The use of conventional MR estimates for density estimation therefore tends to be a distant second choice, but is presented here because it provides a logical building block leading to the next method, spatially explicit capture recapture.
The extension of the approach presented here to other choice of distribution assumption is straightforward, with only simple computations of MLE to get the optimal loss functions and calculation of the derivatives of these functions required.
In this study, we demonstrated that choice of method among the ones presented here for continuous rate measures had little effect on inference.
The work presented here evaluates model choice for genomic birth-death models in a systematic way and presents the first use of bootstrapping to assess estimator variance in birth-death models.
The results presented here support this careful choice of the nonconformity score.
The critical step in the protocol presented here is the correct choice of the promoter used for normalization.
Results presented here are based on unforced choice data only.
The benchmark procedure presented here greatly helps in the choice of a good mapper for a given application and dataset.
The analyses presented here focus on the binary choice data obtained during training and test trials: the test trial confidence data are not considered for the present purposes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com