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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
ising_GibbsSampling
- Gibbs sampling算法,生成Ising model的随机样本
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
Gibbs_Sampling
- A Gibbs Sampling Demo.
gibbsmotifsampler
- Finds motifs and the optimum width via Gibbs sampling. No toolboxes required.
2dgaussian
- 汽车高斯曲面拟合 --- 2程序，以适应到表面二维高斯： 子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的 这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。 autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。 auto
example1
- Metropolis within Gibbs sampling
Heteroscedastic-Gibbs-Sampling
- Heteroscedastic Gibbs Sampling Example
Markov-Chain-Monte-Carlo
- Markov Chain Monte Carlo and gibbs sampling
ar_g
- PURPOSE: MCMC estimates Bayesian heteroscedastic AR(k) model imposing stability restrictions using Gibbs sampling y = b0 + y(t-1) b1 + y(t-2) b2 +,...,y(t-k) bk + E, E = N(0,sige*V), sige = gamma(nu,d0), b = N(c,T), V = diag(v1,v2,...
matlab-econometric-toolbox
- “Applied Econometrics using MATLAB”配套的计量经济Matlab包-MATLAB code for: 1. least-squares, simultaneous systems (2SLS,3SLS, SUR) 2. limited dependent variable (logit, probit, tobit) and Bayesian variants 3. time-series (VAR, BVAR, ECM) estim
gibbsmotifsampler
- Searches for the motifs in a set of sequences via Gibbs sampling
HuntLinKulkarni-PredictingCourseGrades
- Most recent approaches have posed texture synthesis in a statistical setting as a problem of sampling from a probability distribution. Zhu et. al. [12] model texture as a Markov Random Field and use Gibbs sampling for synthesis. Unfortunately,
lda
- lda的C++朴素实现，gibbs采样，学习lda必备-lda simple realization of C++, gibbs sampling, learning essential lda
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
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
- 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
10.1-Gibbs-Sampling-From-Discrete-Undirected-Mode
- Gibbs sampling program