Sentence examples for model parameters but from inspiring English sources

Method factors introduce additional latent variables, and model parameters, but ssaBIC comparisons show that these modelling additions improve fit despite penalties for the improvement in the log-likelihood value achieved by the estimation of additional parameters.

Bayesian analysis of this data set demonstrates that the new model of tumour growth not only gives biological interpretation to model parameters, but also provides better quality of predictions, and is better supported by the experimental evidence.

In addition, in the field ascent process of the ZFC case, the SIFs depend on not only the crack depths and model parameters but also the applied field.

Recent work proposed a constrained MPC approach that took explicit account of the distributions of uncertain model parameters but used terminal equality constraints to ensure stability.

Normal plate impact velocity histories are used not only to identify model parameters, but also to determine under what conditions the model captures failure mechanisms experimentally observed.

The statistics improve significantly with calibration of the global model parameters but even for uncalibrated simulations, the WetSpa model reproduces flow rates of acceptable accuracy for most cases.

It is important to quantify the uncertainty due to uncertain model parameter, but methods for quantifying uncertainty due to uncertainty in model structure are less well developed.

Finally, diabetes was only associated with the first derivative of the growth rate with AAA size model parameter but not the baseline growth rate model parameter.

The results are rather insensitive towards the MMC specific modelling parameters but the modelling of the mixing time scale needs to be adapted to achieve consistency between the flame propagation speed predicted by the artificially thickened flame model and the flame dynamics predicted by MMC.

Therefore, we could not constrain the BPT model parameters well, but probabilities for the next 30 years could be estimated by taking the average of the probable hazard function and comparing this with the currently reported value.

Model parameters include (but are not limited to) the number and types of agents, the range of agent behaviours, the range of agent interactions, the spatial-topographical nature of the environment, and the nature of the processes being simulated.