搜索资源列表
beetleex
- The classical beetle data is analysed using logistic regression and MCMC.
mcmc1
- mcmc的重要代码，在MATLAB中运用-mcmc
Gibbs
- MCMC（马尔科夫链蒙特卡洛）中对于高斯分布的Gibbs采样算法-MCMC Gibbs Sampler
mcmc
- this matlab program for study-this is matlab program
RJ-MCMC
- 可逆挑转马尔科夫链门特卡洛算法实现代码(在matlab下实现的)-Reversible Markov chain transfer gate pick Teka Luo algorithm code (in matlab under implementation)
Markov-Chain-Monte-Carlo-EX---copied-(2)
- This is a general MCMC algorithm using MATLAB.
MCMC
- MARKOV CHAIN MONTE CARLO算法原理及其实际应用-AN INTRODUCTION TO MARKOV CHAIN MONTE CARLO METHODS AND THEIR ACTUARIAL APPLICATIONS
mcmcstat
- MCMC代码，非常适合初学者进行试验，加深理解，马尔可夫链蒙特卡罗-MCMC code, ideal for beginners to experiment, to deepen understanding, Markov chain Monte Carlo
MCMC
- 马尔科夫链蒙特卡洛动态随机模拟mcmc方法的计算机实现,哈佛大学编的-mcmc in matlab
MS-GARCH-model-of-MCMC
- 描述MCMC的MS（3）-GARCH模型的参数估计-MCMC method
Probit-model-of-MCMC
- probit面板模型，其中是用MCMC做的参数估计-MCMC of model
mcmc.in.matlab
- 使用matlab工具完成mcmc（马尔科夫蒙托卡罗）方法的计算。包含多个m文件。-Matlab tools to complete the MCMCcalculations. Contains more than one m file.
MCMC-Bayesian-(2)
- 一篇硕士学位论文，对贝叶斯中的mcmc方法论述得比较清楚-A master' s degree thesis, discusses the mcmc the Bayesian method was clearly
mcmc
- 基于maltab 的MCMC的函数包，里面包含了一些常见的抽样法。M-H抽样法-The functions based on the maltab, to calculate the MCMC, withe the methoed of M-H and others
EM-vs-MCMC
- 一篇关于EM算法与MCMC算法的介绍与区别的论文。-EM VS MCMC for estimation of hidden markov modesl: A computational perspective. Copyright by Tobias Ryden
MCMC
- 详解介绍MCMC，Gibbs抽样和MH算法，找这么多天最详细的-Detailed descr iption MCMC, Gibbs sampling and MH algorithm to find the most detailed so many days
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
MCMC
- 该程序为基于粒子滤波的一种新算法,综合MCMC Bayesian Model Selection即MONTE CARLO马尔克夫链的算法,用来实现目标跟踪,多目标跟踪,及视频目标跟踪及定位等,解决非线性问题的能力比卡尔曼滤波,EKF,UKF好多了,是我珍藏的好东西,现拿出来与大家共享,舍不得孩子套不着狼,希望大家相互支持,共同促进--the program based on particle filter for a new algor
mcmc
- MCMC方法主要是为了解决有些baysian推断中参数期望E(f(v)|D)不能直接计算得到的问题的。 其中v是要估计的参数，D是数据观察值-The concept consists of two parts:markov chain and monte carlo integration。
MCMC
- mcmc学习代码，gibbs抽样,zheng tai fang fa-mcmc,learning programm,gibbs samplers