搜索资源列表
particle-filter-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 马尔可夫链 蒙特卡罗算法 具体参数 请用help命令
mcmc.蒙特卡罗方法的MCNP辅助建模工具
- 蒙特卡罗方法的MCNP辅助建模工具，包含了源程序以及相关文章。,The MCNP Monte Carlo method supporting modeling tools, including the source code and related articles.
mcmcstat MCMC代码 马尔可夫链蒙特卡罗
- MCMC代码，非常适合初学者进行试验，加深理解，马尔可夫链蒙特卡罗-MCMC code, ideal for beginners to experiment, to deepen understanding, Markov chain Monte Carlo
MCMCpack.rar
- 使用R语言的马尔科夫链蒙特卡洛模拟（MCMC）源代码程序。,R languages using Markov chain Monte Carlo simulation (MCMC) procedures for source code.
MCMC.rar
- MCMC方法，代码,MCMC方法，代码,MCMC方法，代码,MCMC code,MCMC code,MCMC code,MCMC code
MCMC
- This is a Monte Carlo sampling matlab programming, hope you can use it, enjoy!
mcmc1
- mcmc的重要代码，在MATLAB中运用-mcmc
Gibbs
- MCMC（马尔科夫链蒙特卡洛）中对于高斯分布的Gibbs采样算法-MCMC Gibbs Sampler
MachineLearning
- 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-MCMC method is an im
MCMC
- 北大于江生教授有关蒙特卡洛方法和马尔科夫链的两个PPT（PDF格式）：An Introduction to MCMC for Machine Learning、Monte Carlo统计方法。共396页-Peking University Professor Yu Jiangsheng on Markov chain Monte Carlo method and the two PPT (PDF format): An Introduction to MCMC for Machine Learn
demo_mtbot
- MCMC多目标仅角跟踪程序，可以在杂波环境下工作-MCMC only multi-target angle tracking program, you can work in cluttered environment
mcmc
- matlab MCL（蒙特卡罗）仿真，移动节点-matlab MCL (Monte Carlo) simulation, mobile nodes
SimulationandMonteCarlo
- the book <<Simulation and Monte Carlo With applications in finance and MCMC >> about MONte carlo method applying to finance problem and markov chain and markov decision process.
mcmc++-1.2.tar
- MCMC image processing
MCMC-Methods-V2.1
- 本程序是基于马尔可夫链蒙特卡尔理论的贝叶斯工具。版本为MCMC Methods for MLP and GP and Stuff (for Matlab) V2.1 -A collection of matlab functions for Bayesian inference with Markov chain Monte Carlo (MCMC) methods. The purpose of this toolbox was to port some of the features in
MCMC-master
- mcmc的程序及算法说明，学习的可以参考一下(MCMC GATHER A FEW SAMPLES FOR THE MH SAMPLING)
MCMC-master
- 利用RNF深度学习网络结构实现MCMC算法(Using RNF deep learning network structure to implement MCMC algorithm)
MCMC
- 目标参数分布情况很复杂，我们想求相关的目标参数（f（x））很难，所以想通过MCMC从目标函数采取样本估计我们想要的结果，大致流程构造一条马尔可夫链去逼近目标函数，从其稳态装下抽取样本。(The distribution of target parameters is very complicated, and it is difficult for us to find the relevant target parameters (f (x)), so we want to use MCMC
MCMC叠前反演
- 利用MCMC方法实现叠前反演，纵横波速度和密度(Using MCMC method to realize prestack inversion, P-wave velocity and density)