搜索资源列表
mcmcexamples
- 蒙特卡罗方法及其例子，用于图像处理与计算机视觉-Monte Carlo method and examples for Image Processing and Computer Vision
mcmcstat
- Rao Blackwellised Particle Filtering
ParticleFilter
- 粒子滤波（ParticleFilter）跟踪算法，可以跟踪主动镜头下的目标，效果非常好！-Particle filter (ParticleFilter) tracking algorithm to track the goal of the initiative under the lens, very good results!
rjMCMC1
- 一个可逆跳转蒙特卡罗采样（RJMCMC）算法详细程序，内附相关论文，对照论文看算法，便于理解。包含多种运动方式（增加，减少，分裂，合成，更新）-A Reversible Jump Monte Carlo sampling (RJMCMC) algorithm detailed procedures, enclosing the relevant papers, watch the control thesis algorithm, ea
particle
- 粒子系统的一个原代码文件，很有用处。有需要的可以参考-Particle system, a source code file, very useful. Can refer to those in need
PF_EPF_UPFduibifangzhendaima
- PF,EPF,UPF的对比仿真代码，可以很直观的看出各种算法之间的差别及各自的优缺点。可直接运行。-PF, EPF, UPF contrast simulation code, it is intuitive to see the differences between the various algorithms and their respective advantages and disadvantages. Can be dir
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!
gibbs.met_1.1-3.tar
- 马尔可夫链蒙特卡洛算法，由R语言实现，是在Gibbs采样中每步利用Metropolis采样。程序非常清晰，是理解MCMC的好东西-Naive Gibbs Sampling with Metropolis Steps
ldys
- mcMC连线缓动演示-mcMC connection slow moving demo! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! ! !
tswcs
- 基于小波基的树结构的贝叶斯方法，采用MCMC推断方法。-Tree structure of wavelet-based Bayesian methods using MCMC inference method.
ltc1655
- 单片机16位LTC1655 DA驱动程序，已经过测试。-MCU 16-bit LTC1655 DA driver, has been tested.
AutoMix
- C implementation of Reversible-Jump -C implementation of Reversible-Jump MCMC
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 mo
AppliedBayesianStatistics
- 关于贝叶斯统计模型的经典好书，详细介绍各种贝叶斯模型以及求解方法-introduce bayesian statistics,including a variety of models and methods,such as Linear Regression Model, mcmc, and so on
AnIntroductiontoReversibleJumpMCMCforBayesianNetwo
- An Introduction to Reversible Jump MCMC for Bayesian Networks, with Application
nouv1
- In this course we present the basic principles of Bayesian statistics (an alternative to "orthodox" statistics). We start by learning how to estimate parameters for standard models (normal, binomial, Poisson) and then ge
14742569mcmc
- this is a importance document
mhsample
- 实现mcmc中的metropolitan抽样,工作环境R2010B-Achieved in the metropolitan mcmc sampling, the working environment R2010B
Geophysical-inversion-for-matlab-toolbox
- 适用于地球物理反演的matlab工具箱，可以以此工具箱进行相应的反演分析-Geophysical inversion for matlab toolbox, this kit can make the appropriate back analysis