Sentence examples for distribution of the parameter from inspiring English sources

The posterior distribution of the parameter vector is induced from that of the regression function.

Without prior knowledge about the distribution of the parameter, Bayesian may choose non-informative priors.

Note that these bounds do not take into account the a priori distribution of the parameter to be estimated.

Hence, the distribution of the parameter values in the bins can be understood as the information content of the runoff data (objective function) for constraining a certain parameter.

The challenge in such models is the appropriate choice of the weights w, i.e the prior distribution of the parameter (theta in mathbb {M}).

Having chosen Clarke's model as the channel model, it follows that the a priori distribution of the parameter h is well approximated as a Gaussian distribution.

The normality of the distribution of the parameters was checked using a Skewness-Kurtosis test.

In Figure 6 the percentage distribution of the parameters in the three sources is represented.

The model has a discrete distribution of the parameters and is considered in two working positions.

We use Bayesian inference methods for estimating the posterior distribution of the parameters of the psychometric function.

Third, the joint posterior distribution of the parameters could be directly approximated from the MCMC draws.