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Exact(2)

The posterior probability distribution of divergence times is approximated by samples from a Markov chain Monte Carlo (MCMC) chain.

Our function for per cent absolute increase in risk of mortality, hereinafter referred to as 'excess risk', has minimal values (below 4%) between 0.5 and 1.3 mg/dl, roughly corresponding to the reference range for creatinine as 0.5 1.2 mg/dl, which is determined by samples from a healthy population (given by the SMH lab utilising the Siemens Vista system with an expected error of ±0.1 mg/dl).

Similar(58)

This is done by sampling from a modified Hamiltonian function instead of the normal Hamiltonian function.

Finally, we assign an emission rate by sampling from a normal distribution with an average EF of 12 kg CH4 per hour per start-up (95% CI: 6.1 18 kg CH4 per hour)38.

In each Monte Carlo run, we estimate this maximum rate of dumping from the separators, equivalent to a continuous dump threshold by sampling from a distribution of dump volumes and dump durations.

The chemical constituents of the leachate plume have been determined by sampling from a bundled piezometer located in the electrical image field.

In each Monte Carlo run we followed a similar procedure to the start-up events, with the difference that we assign an emission rate to each blowdown event by sampling from a normal distribution with an average emissions factor of 6.5 kg CH4 per hour per blowdown (95% CI: 3.3 9.8 kg CH4 per hour)38.

Notice that the main characteristics of this approach is to reproduce a new generation implicitly by sampling from a probability model constructed by promising candidate solutions.

Commonly, this is obtained by sampling from a larger data set and employing human annotators to label each data point (tweet) according to a coding frame ([16, 17]).

The correction step compensates for overestimation of small volumes by sampling from a Gaussian MRF, using Gibbs distributions to obtain the final labeling.

For the Monte Carlo simulations, 10,000 parameter sets were generated by sampling from a uniform distribution within the given range for each parameter (Table 3).

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