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Hybrid Monte Carlo sampling.SAMPLES = HMC(F, X, OPTIONS, GRADF) uses a hybrid Monte Carlo
algorithm to sample from the distribution P ~ EXP(-F), where F is the
first argument to HMC. The Markov chain starts at the point X, and
the function GRAD
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以“一主三从”主从多机通信系统为物理模型，研究应用马尔可夫链建立仿真算法及蒙特卡洛法建立了数学模型，通过将完整的系统元件化，并对每个元件创立各自的状态转移机模型，仿真运行状态，实现了对于这一通信系统的可靠性建模评估。-" One the main three from the" master-slave multi-communication system for the physical model to study the application of Markov cha
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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 carlo simulators.
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Markov Chain for monte carlo
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Markov Chain Monte Carlo Innovations And Applications电子书-Book: Markov Chain Monte Carlo Innovations And Applications
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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
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python code for stard Markov chain Monte Carlo algorithm. In this example, MCMC is used to find position of high probability of a simple distribution function. Application in identification of model parameters is similar in that the highest probable
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基于模拟退火算法的马尔科夫蒙特卡洛算法matlab程序，实现了对levy函数的优化。-A Markov Chain Monte Carlo alogrithm based on annealing phenomenon,which maximzies and minimizes the levy function.
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