rjMCMC

代码说明：

说明：  基于RJMCMC及模拟退火算法的RBF模型选择，用matlab实现，算法全部子程序(Reversible-jump Markov chain Monte Carlo Jump to search In computational statistics, reversible-jump Markov chain Monte Carlo is an extension to standard Markov chain Monte Carlo (MCMC) methodology that allows simulation of the posterior distribution on spaces of varying dimensions.[1] Thus, the simulation is possible even if the number of parameters in the model is not known.)

文件列表：

rjMCMC, 0 , 2019-03-01
rjMCMC\gengamma.m, 651 , 1999-06-01
rjMCMC\radialBirth.m, 3312 , 2018-12-04
rjMCMC\radialDeath.m, 2668 , 2018-12-04
rjMCMC\radialMerge.m, 4328 , 1999-07-02
rjMCMC\radialRW.m, 3611 , 1999-07-02
rjMCMC\radialSplit.m, 3917 , 1999-07-02
rjMCMC\radialUpdate.m, 3571 , 1999-07-02
rjMCMC\rjCubic.m, 564 , 1999-06-01
rjMCMC\rjGaussian.m, 656 , 1999-06-01
rjMCMC\rjMultiquadric.m, 583 , 1999-06-01
rjMCMC\rjdemo1.m, 4919 , 2018-12-05
rjMCMC\rjnn.m, 10051 , 2018-12-05
rjMCMC\rjtpSpline.m, 561 , 1999-06-01