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Reversible_Jump_MCMC_Bayesian_Model_Selection
- This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation paramete
rjMCMC1
- 一个可逆跳转蒙特卡罗采样（RJMCMC）算法详细程序，内附相关论文，对照论文看算法，便于理解。包含多种运动方式（增加，减少，分裂，合成，更新）
rjMCMC
- 实现带有再采样步骤的rjmcmc算法，并用算例证明其性能。-To achieve with the re-sampling step rjmcmc algorithm, and use examples to prove its performance.
Finitemixtureofalpha-stabledistributions
- 非高斯信号信号处理，RJmcmc方法同时实现alpha稳定分布模型估计和参数估计的一篇重要文献。-nongaussian signal processing，RJMCM algorithm，alpha stable distribution
rjMCMCsa
- 可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络-Reversible Jump MCMC Bayesian Model Selection This demo demonstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats t
rjMCMC
- 可逆跳转马尔科夫链蒙特卡罗算法，可用于图像处理、音频处理等领域，其中有详细解释-rjmcmc simulation aims at approximate a noisy nolinear function
FUNCTION
- 一个可逆跳转蒙特卡罗采样（RJMCMC）算法详细程序，包含多种运动方式（增加，减少，分裂，合成，更新）,内附相关论文，对照论文看算法，便于理解。-A reversible jump Monte Carlo sampling (RJMCMC) algorithm detailed program, including a variety of sports mode (increase, decrease, split, synthesis, update), enclosing the rele
RJMCMC-algorithm-in-matlab-program
- 对普通 RJMCMC算法提出了改进算法，并由MATLAB实现。-Ordinary RJMCMC algorithm proposed an improved algorithm, MATLAB realization by.
rjMCMC
- matlab解决MCMC问题的源代码 源于剑桥一篇report -use matlab solve MCMCproblems
ibp
- Included in this distribution is matlab code to generate posterior samples for linear Gaussian and binary matrix factorization (noisy-or) Indian Buffet Process models. Three different posterior sampling algorithms are provided: Gibbs, reversibl
rjMCMC
- Nando de Freitas' sequential Monte Carlo demos in Matlab. Reversible Jump MCMC Bayesian Model Selection.