Sentence examples for model parameters p from inspiring English sources

We have identified the model parameters (p and q) using MLE.

In a nutshell, the reference priors proposed by Bernardo maximize the expected value of perfect information about the model parameters (p. 300, Bernardo and Smith 1994).

In this section, we evaluate the impacts of the three model parameters p i,u2i,u3i on the proposed attack model's destructiveness.

The model parameters P(w j |z k ) and P z k |d i ) are estimated by maximizing the data log-likelihood using EM algorithm [20, 21].

During the VFSA inversion, model parameters P i m for the m th iteration are updated to P i m + 1 according to P i m + 1 = P i m + y i P i max - P i min, (9).

Therefore, to evaluate the damping effect, we have elaborated (19) by considering the hypothesis in which the stiffness contribution is null and the model parameters (P, E*, A) are unitary.

The limma package was used for all analyses, with either the eBayes [ 33] or the treat [ 35] statistical models and the model parameters (p-Value, Fold-change) indicated.

Model parameter P and data ρ s are transformed into the log domain.

where P i max and P i min are upper and lower bounds of the i th model parameter P i and y i is the updating factor computed as y i = sgn u i - 0.5 T m 1 + T m - 1 2 u i - 1 - 1. (10).

In step 2, the logit function is chosen in the classical approach mainly because the model parameter p is bounded by 0 and 1. Since, as described below, our model parameters are not bounded by 1, we have no reason to consider their logit value.

In order to find the optimal model parameter P we calculated the Schwarz Bayesian Criterion SBCC) [ 44] for model orders from 2 - 20.