搜索资源列表
A_MCMC_approach_for_Bayesian_super-resolution_imag
- MCMC方法的超分辨paper，此论文是已贝叶斯统计论文为基础，是另一种很有效的sr方法
QHQ++
- the C++ library named QHQ++ which includes four sub libraries QHQc++ (C++ Numerical Library), QHQmcmc++ (MCMC algorithms), QHQsv++ (Stochastic Volatility Model) and QHQyv++ (Yield Curve Modeling).
mcmc.rar
- mcmc 马尔科夫蒙塔卡罗模拟,模拟随机过程,mcmc markarv motecalo simulation
MCMC
- 基于MCMC技术的社会网络搜索.pdf，非常值得一看的文章。-MCMC-based social networking search technology. Pdf, is a must-see article.
mcmc
- 蒙特卡洛模拟算法，和大家一起交流，共同进步-Monte Carlo simulation algorithm, and the community together to exchange and common progress
cdf_2007-07-13
- This is tracking source code based on "MCMC Particle Filter for Real-Time Visual Tracking of Vehicles".
mcmc
- Tutorial Lectures on -Tutorial Lectures on
particle
- 用于粒子滤波的，讲解详细！初学者可以很容易地看懂！-For the particle filter, and explain in detail! Beginners can easily understand!
AnIntroductiontoReversibleJumpMCMCforBayesianNetwo
- An Introduction to Reversible Jump MCMC for Bayesian Networks, with Application
MCMCchange-point
- 用统计软件R编程的，用MCMC方法做的变点模型-the changepoint model based on MCMC
MCMC
- 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-Markov chain algorithm for target tracking, multi-target tracking, and video tracking and positioning
mat2octandback.tar
- the program based on particle filter for a new algorithm, Integrated Bayesian MCMC Model Selection MONTE CARLO that Ma Erkefu chain
MCMC_Gibbs
- 由matlab实现的从高斯分布数据中进行Gibbs采样的示例程序，代码中我已加注释，比较好理解，对于学习MCMC的同学比较有帮助。当初我理解GIbbs采样非常痛苦，希望这份代码对与我有相同经历的同学帮上忙-Realized by MATLAB the Gauss distribution data of Gibbs sampling sample program, the code I have to add a comment, is better understood, more help
AutoMix.tar
- automatic reversible jump MCMC 的实现代码- automatic reversible jump MCMC
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 algorithm, Integrated Bayesian MCMC
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。
MH-MCMC
- Metropolis-Hastings算法的R语言实现(Implementation of Metropolis-Hastings algorithm in R language)
二项okkkkkkk
- 运用mcmc方法识别二项分布多变点变点位置及参数(Identification of variable point position and parameter of two distribution points by using MCMC method)
mcmc
- MCMC方法是一种重要的模拟计算方法，马尔可夫链蒙特卡尔理论(Markov chain Monte Carlo：MCMC)的研究对建立可实际应用的统计模型开辟了广阔的前景。90年代以来，很多应用问题都存在着分析对象比较复杂与正确识别模型结构的困难。现在根据MCMC理论，通过使用专用统计软件进行MCMC模拟，可解决许多复杂性问题。此外，得益于MCMC理论的运用，使得贝叶斯(Bayes)统计得到了再度复兴，以往被认为不可能实施计算的统计方法变得是很轻而易举了。(The MCMC method is
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