Bayesian Analysis of Stochastic Volatility Model with Leverage Effect and Its Application;

A new combined forecasting in this paper was introduced,which was on the basis of Bayesian analysis,Experts experience,MCMC,Gibbs sample and real-time emendation function.

Aiming at the two situations-abundance or lack of history flood data,the combined forecasting models separately based on multi-objective fuzzy optimization theory and Bayesian analysis theory are proposed correspondingly.

Bayes Analysis of Continuous-Time Assets Return Models;

Based on statistical decision-making and bayes analysis,combining the expert information with collected data,the production definition′s opportunity of weapons with pipes is determined quantitatively,which provids the theoretical and data-dependent support for the definition committee′s decision-making.

To overcome the hardship of enacting the pre-probability distribution with high certainty factor,this paper proposes one novel way of applying Bayes analysis to classify pattern.

In order to deal with the complexity and uncertainty in medical diagnosis,this paper proposed a new method based on fuzzy Bayesian networks,and applied it to the classification of astrocytoma malignant degrees.

This study proposes a form of fuzzy Bayesian networks fusing continuous low-level image features and high-level semantics,which uses Gaussian mixture models(GMM) to make a fuzzy procedure.

Aiming at the diversity,uncertainty and illegibility of battle damage assessment(BDA) data sources,based on the merit of fuzzy set theory which can convert the crisp variable to discrete variable and the Bayesian networks have advantages on deal with uncertainty inference,the battle damage assessment method based on the fuzzy Bayesian networks(FBN) was brought out.