搜索资源列表
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
example1
- Metropolis within Gibbs sampling
SOM_Classification
- An unsuperwised SOM classificatoin on the wheather data of a metropolis over 40 years
Simulated_annealing_MC
- Simulated annealing using the Metropolis criterion for TSP
albertmc1
- Example of Metropolis Hastings Algorithm
Adaptive-Mixture-Modelling-Metropolis-Methods
- Adaptive Mixture Modelling Metropolis Methods using matlab
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
- matlab code for metropolis algorithm
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
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 Matlab(MCMC) by MarkSteyvers, 2
DistancePMetropolis
- 这是模拟退火算法中求距离矩阵和Metropolis准则实现的源代码-This is a simulated annealing algorithm and Metropolis guidelines seek to achieve a distance matrix source code
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PDF的函数等。(This program develops
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)
rwm
- 用random walk metropolis算法计算标准正态分布的收敛(Using Markov Chain Monte Carlo Method to Calculate the Convergence of Standard Normal Distribution)