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hmc
- 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
HMMall
- 马尔可夫过程是一类重要的随机过程,它的原始模型马尔可夫链,由俄国数学家Α.Α.马尔可夫于1907年提出。本程序是对隐马尔可夫模型的一个完整的建模。 -Markov process is one important class of stochastic processes, and its original model of Markov chain, by the Russian mathematician Markov Α.Α. made in 1907. This procedure is
maerkefulian
- 马尔可夫链算法,可以自动输出一段有意义的文-Markov chain algorithm, can automatically output section of meaningful text
project
- 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
gibbs_metropol_sampler
- 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.
shuxuesuanfa
- 包括分枝定界算法，线性规划单纯形算法，马尔可夫链算法，贝叶斯决策方法，生产计划算法，动态规划的投资问题的C语言解决-Including the branch-and-bound algorithm, linear programming simplex algorithm, Markov chain algorithms, Bayesian decision-making methods, production planning algorithms, dynamic programming i
BRANCH
- 马尔可夫链算法,包括子程序和调用主程序示例，用C++编写-Markov chain algorithm
MC_mont_carlo
- Markov Chain for monte carlo
MarkovChainMonteCarloInnovationsAndApplications.ra
- Markov Chain Monte Carlo Innovations And Applications电子书-Book: Markov Chain Monte Carlo Innovations And Applications
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
fbm.2004.11.10
- 《Software for Flexible Bayesian Modeling and Markov Chain Sampling》是机器学习领域专家Neal编写的用于Bayesian和马尔可夫链Linux下的C语言工具包。很有名，也很权威。 -This software supports Bayesian regression and classification models based on neural networks and Gaussian processes, and Ba
09
- 数学建模算法 灰色系统理论及其应用 马氏链模型 神经网络模型 时间序列模型 图与网络-Grey system theory, mathematical modeling algorithms and its Markov chain model neural network model and network time series model diagram
random-simulation
- MCMC,short for Markov Chain Mente Carlo, is a good way for random simulation
Markov_Cha1744315122004
- 标题：马尔可夫链的文本（更新） 描述：马尔可夫链允许你建立随机文本从某种意义上/原始文字的风格仍然保持原来的文本。该方案包括一个支援功能的情侣（ArraySort，UniqueArray，PosInArray和binaryArraySearch）可能会感兴趣。 -------------增加了更多的细节，以帮助和提高代码选择的第一个字（如果你有一个以上的句子/段落的第一个字，将是一个句子或段落的第一个字，而不是仅仅在文本中随机选择的字{整段文字的第一个字比其他}。-Title: Mark
Markov-Chain
- 马尔可夫链，因安德烈·马尔可夫（A.A.Markov，1856－1922）得名，是数学中具有马尔可夫性质的离散时间随机过程。该过程中，在给定当前知识或信息的情况下，过去（即当期以前的历史状态）对于预测将来（即当期以后的未来状态）是无关的-Markov chain, Yinandelie · Markov (AAMarkov ,1856-1922) got its name, is a discrete time stochastic process with Markov mathematica
McMC_test
- 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
Artigo-CogPRMA
- CogPRMA Markov Chain
MCMC
- 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.
Metropolis-Hastings
- 使用metropolis-hastings抽样方法，产生平稳马尔科夫链，R语言实现-Using sampling methods metropolis-hastings, produce smooth Markov chain, R language
IMM
- 交互多模滤波器 利用马尔科夫链对多种测量模型分别进行卡尔曼滤波 并利用转移概率对滤波结果进行加权 适用于机动目标跟踪和低空多径噪声下的高度测量-IMM filter Markov chain model for a variety of measurements were Kalman filter and using the filtered result of the transition probability weighting applicable at low altitude ma