The phrase "as prior parameter" is not correct and may cause confusion in written English.
It could be used in a technical context where parameters are being discussed, but it lacks clarity and specificity.
Example: "The function should be adjusted to accept the input as prior parameter to ensure compatibility."
Alternatives: "as the previous parameter" or "as the earlier parameter".
The pilot results were used to make minor amendments and the coefficients generated from analysis of the pilot data were used as prior parameters to improve the efficiency of the experimental design.
As some prior parameters (those statistically significant in the MNL model), levels and number of choices, among others, are fixed, we could only change non-significant prior parameters to ensure that all choices provide a similar utility to the respondents.
The proposed Bayesian method interprets binding specificities as random variables whose prior parameters define the amount of uncertainty associated with each TF binding model.
As observed in Table 2, some prior parameters differ from the results of the MNL model (Table 1), as the parameters were not significantly different from zero at the 95% level.
More details about the distributions used for sampling the variables are presented in the Appendix A. Using all the variable updates, the inference process can be described as: Set the values for the prior parameters α a,α b,γ a,γ b,λ.
As suggested in [ 14], MU appears to be sensitive to prior parameters.
We assign a Gaussian pdf as prior for each parameter θ j, with mean μ j and variance σ j, where j = 1 5 in Experiment 1 and j = 1 6 in Experiment 2: (5) p (θ j | σ, I ) = p (θ j | I ) = 1 σ j 2 π exp (− (θ j − μ j ) 2 2 σ j 2 ).
Noninformative normal distributions were used as prior distributions for the parameters, a Wishart distribution for parameter precisions, and an inverse gamma distribution for the precision of the normally distributed residual error.
The best parameters were selected after experiments with a variety of parameters were conducted; initial parameters such as prior probabilities, transition matrix, and observation matrix were randomly set.
This method can apply constraints of fault parameters as prior information.
