通过上述统计分析发现，大多数文献都采用了直接求解，这种方法最便利，但只

Through the above statistical analysis, it is found that most of the literature uses direct solution. This method is the most convenient, but it is only suitable for non-information priors and certain prior distributions. Using the MCMC method, it can be seen from the nature of the non-cyclic stationary Markov chain that no matter how the initial value of the sample point is selected, the sample point will reach its stable distribution after a certain number of iterations, that is, the posterior distribution space of the target parameter. Adapt to a variety of different situations, but the amount of calculation is complicated. With MCM, the suitability and the amount of calculation are centered.

Through the above statistical analysis, it is found that most of the literature uses direct solution, which is the most convenient method, but only suitable for non-information a priori and some specific a priori distribution. Using mcMC method, the nature of non-periodic smooth Markov chain can be known, no matter how the initial value of the sample point is selected, after a certain number of iterations, the sample point will reach its smooth distribution, that is, the post-test distribution space of the target parameters, adapted to different situations, but the calculation is complex. With MCM, the right situation and calculation are centered.

Through the above statistical analysis, it is found that most literatures use direct solution, which is the most convenient method, but only suitable for non information prior and some specific prior distributions. Using MCMC method, we can know from the properties of the non periodic stationary Markov chain that no matter how the initial value of the sample points is selected, after a certain number of iterations, the sample points will reach their stable distribution, that is, the posterior distribution space of the target parameters, which can adapt to various situations, but the calculation is complex. MCM is used, which is suitable for the situation and the amount of calculation.<br>