The substructure method is applied to study the interaction between arch dam and its abutment and the stochastic mechanical parameters of the fault belt are estimated by means of Bayes method.

To verify some six-degree-of-freedom simulation model of ballistic missile,various Bayesian methods which were suit to small sample export were studied according to the character of data output from missile weapon system in this paper.

With the observations of the sensors distributed over the urban areas and the concentrations predicted by an atmospheric dispersion model,a likelihood function was assigned,with which Markov chain Monte Carlo(MCMC)sampling based on Bayesian inference was used to invert the parameters,including the source location and the dispersion strength.

Grey congregation to monitoring information of customer service is analyzed, then the model of Bayes inference is established.

This paper presents hyper inverse Γ-distribution in order to perform Bayes inference from decomposable Gaussian graphical models.