搜索资源列表
iHMM
- infinite HMM Refer to Beal s Paper Applying Gibbs Sampling in inference the number of states of HMM is changeable in this algorithm, based on Dirichlet Proce
Gibbs_Sampling
- Gibbs Sampling 數學統計算法
Gibbs_demo
- gibbs sampling的例子
GibbsSampling
- Gibbs Sampling GibbsSampling GibbsSampling GibbsSampling
Statistics.rar
- 这是一本讲述matlab中涉及到统计方面的知道书籍，特别是对采样，GIbbs采样，都有很好的示例。,This is the one involved in matlab about statistics to know the book, especially for sampling, GIbbs sample, there are good examples.
JAGS-2.2.0.tar
- 基于吉布斯采样的算法源码，对要从事算法研究的人很有帮助。-Gibbs sampling algorithm based on source code, for people who want to be helpful in the algorithm.
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
GibbsVar
- Gibbs sampling using MATLAB
ising_GibbsSampling
- Gibbs sampling算法,生成Ising model的随机样本
Gibbs_Sampling
- A Gibbs Sampling Demo.
gibbsmotifsampler
- Finds motifs and the optimum width via Gibbs sampling. No toolboxes required.
Heteroscedastic-Gibbs-Sampling
- Heteroscedastic Gibbs Sampling Example
gibbs
- 利用matlab进行GIBBS抽样分析来解决数据缺失的现象-GIBBS sampling analysis to solve the missing data using the MATLAB phenomenon
gibbs
- the gibbs sampling technique for regressions as in james lesage toolbox
gibbs
- Gibbs Sampling 这个绝妙的想法在1953年被 Metropolis想到了，为了研究粒子系统的平稳性质， Metropolis 考虑了物理学中常见的波尔兹曼分布的采样问题，首次提出了基于马氏链的蒙特卡罗方法，即Metropolis算法，并在最早的计算机上编程实现。Metropolis 算法是首个普适的采样方法，并启发了一系列 MCMC方法，所以人们把它视为随机模拟技术腾飞的起点。 Metropolis的这篇论文被收录在《统计学中的重大突破》中， Metropolis算法也被遴选为二十
Gibbs
- 在MATLAB环境下，基于吉布斯抽样的高斯通道采样分析方法-In the MATLAB environment, based on Gibbs sampling Gaussian channel sampling and analysis methods
gibbs
- 由matlab实现的从高斯分布数据中进行Gibbs采样的示例程序，在数据分析，仿真，各个学科中均有广泛应用-By matlab gaussian distribution of the data in the Gibbs sampling sample program, the data analysis, simulation, are widely used in many disciplines
10.1-Gibbs-Sampling-From-Discrete-Undirected-Mode
- Gibbs sampling program
Gibbs
- 文件压缩包内为Gibbs抽样分布，可以直接运行出结果(Gibbs sampling distribution)
gibbs
- 吉布斯(Gibbs)抽样方法是 Markov Chain Monte Carlo(MCMC)方法的一种,也是应用最为广泛的一种(The simplest Gibbs sampling is a special case of Metropolis-Hastings algorithm, while the extension of Gibbs sampling can be regarded as a universal sampling system. This system takes a