Ghosh, "

Bayesian variable selection and estimation for group lasso,"

Bayesian Analysis, vol.

Apply

Bayesian estimation model to estimate missing diameters (Figure 4).

Therefore, we plan to use the three-phase dependency analysis

Bayesian network structure learning method to construct the network including maize genes and carotenoid components.

A set of variables X = {[X.sub.1], [X.sub.2], ..., [X.sub.n]} of

Bayesian network consists of the following components [37] S is a network structure which denotes the conditional independent assertion in variable set X, P is a set of local probability distributions associated with each variable, [X.sub.i] denotes the variable node, and [pa.sub.i] denotes the father node of [X.sub.i] in S.

All of these software packages provide programs for

Bayesian modeling through posterior simulation given a specified model and data.

Table I presents the DIC values for each growth curve fitted via

Bayesian approach to average weight of Mengali sheep from birth to two years of age for both sexes and type of births.

The Crude Rate of mortality from cancer of the mouth for the year 2012 was adopted, as standard for comparison for the application of smoothing by the

Bayesian models (10,11,14).

[10.] Guerin, F.; Dumon, B.; Usureau, E.2003.Reliability estimation by

bayesian methode: definition of prior distribution using dependability study.

Bayesian stepwise discriminant analysis was used to analyze the etiological infections of CT, UU, C.

The remainder of this paper is outlined as follows: first, the T-S fuzzy gate fault tree and

Bayesian network are briefly reviewed.

As a special case of

Bayesian network, the naive

Bayesian classifier does not need the predetermination of network structure [13].

When modal data is used as evidence in a

Bayesian damage detection algorithm, many studies have suggested different ways to take variance for prediction error model of frequency and mode shape data types [26-30].