搜索资源列表
On-Line_MCMC_Bayesian_Model_Selection
- This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation a
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
mcmc.蒙特卡罗方法的MCNP辅助建模工具
- 蒙特卡罗方法的MCNP辅助建模工具，包含了源程序以及相关文章。,The MCNP Monte Carlo method supporting modeling tools, including the source code and related articles.
gibbs.met_1.1-3.tar
- 马尔可夫链蒙特卡洛算法，由R语言实现，是在Gibbs采样中每步利用Metropolis采样。程序非常清晰，是理解MCMC的好东西-Naive Gibbs Sampling with Metropolis Steps
OpenBUGS
- 这是国外研究Gibbs采样和Bayesian推理的研究人员写的工具包软件，最新版本为V1.4.3。很适合研究机器学习及其贝叶斯推理的科研人员使用。-The BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian analysis of complex statistical models using Markov chain Monte
mcmc++-1.2.tar
- MCMC image processing
random-simulation
- MCMC,short for Markov Chain Mente Carlo, is a good way for random simulation
mcmc
- 蒙特卡洛资料，对于编写概率计算问题有较多的帮助，希望能帮到需要的人。-Monte Carlo
hw7.c.tar
- 用KMC方法模拟二维ising模型，通过合适选取的预选和决策方案来进行模拟。-the descr iption of the method of MCMC to simulate the Ising model.
mcmc
- R软件的程序代码+蒙特卡罗马尔科夫模型+系数的估计+预测-R code+MONT CAROL MARKOV+forecast
DREAM-V3.0
- 差分进化自适应Metropolis算法Matlab工具箱,是一种马尔科夫链蒙特卡洛(MCMC)工具.带演示例子.-DREAM runs multiple different chains simultaneously for global exploration, and automatically tunes the scale and orientation of the proposal distribution using differential evolution.
McMC_test
- python code for stard Markov chain Monte Carlo algorithm. In this example, MCMC is used to find position of high probability of a simple distribution function. Application in identification of model parameters is similar in that the highest probable
ADAPTIVE_MCMC
- 马尔可夫蒙特卡罗抽样程序，可供统计学使用-adaptive MCMC program
MCMC
- 基于模拟退火算法的马尔科夫蒙特卡洛算法matlab程序，实现了对levy函数的优化。-A Markov Chain Monte Carlo alogrithm based on annealing phenomenon,which maximzies and minimizes the levy function.
MCMC
- 目标参数分布情况很复杂，我们想求相关的目标参数（f（x））很难，所以想通过MCMC从目标函数采取样本估计我们想要的结果，大致流程构造一条马尔可夫链去逼近目标函数，从其稳态装下抽取样本。(The distribution of target parameters is very complicated, and it is difficult for us to find the relevant target parameters (f (x)), so we want to use MCMC