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When we implement the Bayesian inference Eq. (4), importance sampling technique is utilized, where the density is represented by samples from the associated distribution.
As the figure indicates, the majority of the samples in Group I come from the EA and the four Swiss datasets, while Group II is dominated by samples from the JRC dataset, and the majority of Group III comes from the UKCIP and JRC datasets.
Two notable exceptions are constituted by samples from the Chile upwelling and from surface waters of station STB7 where a single algal order (Mamiellales) or clade (Prasinophyceae clade IX) dominated, respectively, the PPE population (Fig. 2, Table 2).
Several territories in the IFG and OFC were also mostly reached by samples from the middle insula.
The highest average concentrations were found in urine samples from Japan, followed by samples from the United States.
The percentile method refits the model to simulated data generated by samples from the model whose parameter values were obtained by fitting to the actual data.
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The distributions, and are estimated by sampling from the databases.
We assume that the PF used is initialized by sampling from the prior distribution.
This is effectively a bootstrap created by sampling from the test dataset.
Monthly or daily streamflows at multiple sites are then generated by sampling from the conditional copula.
Propagate the state particles by sampling from the transition density, conditioned on the available resampled streams (overline {x}_{1 t}^{(m)}).
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