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mcsim
- c语言编写的蒙特卡洛仿真软件，可以用于进行标准的和马尔科夫链蒙特卡洛模拟-MCSim is a general purpose modeling and simulation program which can performs "standard" or "Markov chain" Monte Carlo simulations.
mcmc_gibbs_intro
- 对马尔科夫链蒙特卡洛模拟和吉布斯采样的一个介绍文章，对了解这些方法非常有用！-We focus here on Markov Chain Monte Carlo (MCMC) methods, which attempt to simulate direct draws from some complex distribution of interest. MCMC approaches are so-named because one uses the previous sample
blogreg
- 实现在参数先验是高斯分布情况下，利用马尔科夫链蒙特卡洛算法来对Logistic 回归模型参数的后验分布进行抽样 -It implements different Markov Chain Monte Carlo strategies for sampling from the posterior distribution over the parameter values for Logistic Regression models with a Gaussian prior on th
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
218752354420051152056193960009
- 遗传算法的VC++程序需要看看GA中马尔可夫链过程的英文描述,需要书籍中的英文资料-GA a Markov Chain Models of Genetic Algorithms (1999).pdf
HzSearching
- 基于自然语言处理方法的拼音输入法程序,主要采用马尔可夫链模型，通过求最大转移概率，获得由拼音到汉语语句的转变-Based on natural language processing methods Pinyin input method procedures, the main use of Markov chain model, by seeking the maximum transition probability, obtained from the phonetic changes
asr2000
- Hidden Markov Models (HMMs) are a popular approach for speech recognition. Commonly, a left-to-right Markov chain topology is used, where each phoneme is represented by a sequence of states (typically three) [
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
MonteCarlo
- 蒙特卡罗马尔可夫链。是马尔可夫-蒙特卡罗算法的MATLAB源程序-Markov Markov chain Monte Carlo- Monte Carlo Algorithm for MATLAB source code
DEMC
- 基于蒙特卡罗马尔可夫链的差分遗传算法。算法有mc抽样改进，并用差分算法改进遗传优化算法-A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing
mcmc
- 马尔可夫链蒙特卡洛方法在matlab中的实现程序-Markov chain Monte Carlo method in the realization of program matlab
Program
- 計算Markov chain之steady state-Markov chain of the steady state calculation of
004
- 蒙特卡罗马尔科夫链学习相关知识，了解马尔科夫和蒙特卡罗常用方法。-Markov chain Monte Carlo to learn relevant knowledge, understanding common Markov and Monte Carlo methods.
HMM
- 隐马尔可夫模型,浙江大学人工智能研究所.HMM的由来 马尔可夫性和马尔可夫链 HMM实例 HMM的三个基本算法 主要参考文献-Hidden Markov models, Artificial Intelligence Institute of Zhejiang University. HMM Origin Markov and Markov chain HMM example The three basic algorithms HMM Main referenc
11
- 这是一篇关于MCMC(马尔科夫链蒙特卡罗方法)应用于MIMO检测方面的文章（I-EEE）-This is an article on MCMC (Markov chain Monte Carlo method) is applied to MIMO detection for articles (I-EEE)
mrbayes-3.1.2.tar
- 利用贝叶斯算法，结合马尔科夫链对系统发育的分析-Bayesian algorithm, combined with Markov chain analysis of the phylogenetic
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
Multi-objective_optimization_algorithm
- 基于群体搜索的遗传算法求解多目标优化问题具有独特的优势,多目标优化算法已有的研究大多为 算法的设计和数值实验效果的比较,理论研究则很少,本文作者给出了一种求解多目标优化问题的新遗传算法 (RMOGA) ,并用Markov 链的理论对RMOGA 的收敛性进行了研究,其结果表明RMOGA 依概率收敛到问题的 Pareto 前沿面-Population-based genetic algorithm search for multi-objective optimization probl
cosmomc10.tar
- 用准蒙特卡洛方法，即Monte-Carlo-Markov-Chain计算似然函数，确定宇宙学参数。-To calculate the likelihood and find the best parameter set.