搜索资源列表
c_inference_ver2.2
- The package includes 3 Matlab-interfaces to the c-code: 1. inference.m An interface to the full inference package, includes several methods for approximate inference: Loopy Belief Propagation, Generalized Beli
Thinning-Methodologies-Hastings
- document qui décrit la technique de squelettisation
gibbs_metropol_sampler
- this r code for Gibbs sampler and Metropolis sampler which are two variants of markov chain monte carlo simulators.-this is r code for Gibbs sampler and Metropolis sampler which are two variants of markov chain monte car
TestMarkovIsingbyMetropolis
- MRF example, Ising by Metropolis
mh
- metropolis-Hastings samplermetropolis-Hastings抽样的matlab实现-metropolis-Hastings samplermetropolis-Hastings in matlab
posteriorinference_weibull
- Use Metropolis-Hastings procedure to estimate parameters in Weibull example
mallows_MH
- Metropolis sampler for Mallows model samples orderings from a distribution over orderings
metropolis
- Use Metropolis procedure to sample from Cauchy density
albertmc1
- Example of Metropolis Hastings Algorithm
MH
- 利用Metropolis-Hastings准则实现对高斯分布的采样，建议分布是高斯分布-The use of standards to achieve Metropolis-Hastings sampling of the Gaussian distribution, the proposed distribution is a Gaussian distribution
randomwalker
- 基于Metropolis-Hastings方法的随机游走模拟-Metropolis-Hastings random walk simulation method based
Metropolis-Hastings
- 使用metropolis-hastings抽样方法，产生平稳马尔科夫链，R语言实现-Using sampling methods metropolis-hastings, produce smooth Markov chain, R language
lightlda-master
- LightLDA is a distributed system for large scale topic modeling. It implements a distributed sampler that enables very large data sizes and models. LightLDA improves sampling throughput and convergence speed via a fast O
MCMC-with-Matlab
- 马尔可夫链蒙特卡罗（MCMC）入门学习资料，包括MetropolisSampling、Metropolis-Hastings Sampling、Gibbs Sampling。包含文档以及对应的程序！选自2011年MarkSteyvers的Computational Statistics with Matlab(MCMC)-MCMC learning materials of Computational Statistics with M
metropolis_hastings
- 本文件包含Metropolis算法对函数进行抽样;显示生成样本的相关图和直方图. 其中文件：metropolis_hastings.m该文件包含4个示例，用于通过Metropolis-Hastings算法对复杂函数进行抽样，显示生成样本的相关图和直方图。metropolis_hastings2.m 包含一个例子，用于通过Metropolis-Hastings算法对双变量高斯PDF进行采样，显示生成样本的相关图和直方图，以及其轮廓和边缘
MH-MCMC
- Metropolis-Hastings算法的R语言实现(Implementation of Metropolis-Hastings algorithm in R language)
Metropolis-Hasting Random Walk
- Metropolis Hastings code
metropolis-hastings
- 一种用于对各类概率密度函数进行样本采样的Metropolis-Hastings算法(a Metropolis-Hastings algorithm for sampling from various probability density functions)
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 samplin