Description: The package includes 3 Matlab-interfaces to the c-code:
1. inference.m
An interface to the full inference package, includes several methods for
approximate inference: Loopy Belief Propagation, Generalized Belief
Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods
(Metropolis, Gibbs, Wolff, Swendsen-Wang).
Use \"help inference\" from Matlab to see all options for usage.
2. gbp_preprocess.m and gbp.m
These 2 interfaces split Generalized Belief Propagation into the pre-process
stage (gbp_preprocess.m) and the inference stage (gbp.m), so the user may use
only one of them, or changing some parameters in between.
Use \"help gbp_preprocess\" and \"help gbp\" from Matlab.
3. simulatedAnnealing.m
An interface to the simulated-annealing c-code. This code uses Metropolis
sampling method, the same one used for inference.
Use \"help simulatedAnnealing\" from Matlab. Platform: |
Size: 83944 |
Author:bevin |
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Description: infinite HMM
Refer to Beal s Paper
Applying Gibbs Sampling in inference
the number of states of HMM is changeable in this algorithm, based on Dirichlet Proce-infinite HMMRefer to Beal s PaperApplying Gibbs Sampling in inferencethe number of states of HMM is changeable in this algorithm, based on Dirichlet Proce Platform: |
Size: 344064 |
Author:nielsting |
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Description: Matlab做的关于三角波，正弦波，方波的FFT算法，可以分析方波信号、三角波信号的频谱以及采样点数、采样频率对频谱分辨率的影响。-Matlab to do on the triangle wave, sine wave, square wave of the FFT algorithm, can be analyzed square-wave signal, triangular wave signal of the spectrum as well as the sampling points, the sampling frequency affect the resolution of the spectrum. Platform: |
Size: 1024 |
Author:venppen |
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Description: The package includes 3 Matlab-interfaces to the c-code:
1. inference.m
An interface to the full inference package, includes several methods for
approximate inference: Loopy Belief Propagation, Generalized Belief
Propagation, Mean-Field approximation, and 4 monte-carlo sampling methods
(Metropolis, Gibbs, Wolff, Swendsen-Wang).
Use "help inference" from Matlab to see all options for usage.
2. gbp_preprocess.m and gbp.m
These 2 interfaces split Generalized Belief Propagation into the pre-process
stage (gbp_preprocess.m) and the inference stage (gbp.m), so the user may use
only one of them, or changing some parameters in between.
Use "help gbp_preprocess" and "help gbp" from Matlab.
3. simulatedAnnealing.m
An interface to the simulated-annealing c-code. This code uses Metropolis
sampling method, the same one used for inference.
Use "help simulatedAnnealing" from Matlab. Platform: |
Size: 83968 |
Author:bevin |
Hits:
Description: 这是一本讲述matlab中涉及到统计方面的知道书籍，特别是对采样，GIbbs采样，都有很好的示例。-This is the one involved in matlab about statistics to know the book, especially for sampling, GIbbs sample, there are good examples. Platform: |
Size: 8008704 |
Author:xiao |
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Description: 用Matlab实现的gibbs抽样，包含了若干完整的测试代码。-Demos for Gibbs sampling, in which the matlab language is used. Platform: |
Size: 119808 |
Author:wang chuntao |
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Description: Included in this distribution is matlab code to generate posterior samples for
linear Gaussian and binary matrix factorization (noisy-or) Indian Buffet
Process models. Three different posterior sampling algorithms are provided:
Gibbs, reversible jump Markov chain Monte Carlo (RJMCMC), and sequential
importance sampling (SIS). Only the Gibbs and SIS samplers are provided for
the linear Gaussian IBP models.-Included in this distribution is matlab code to generate posterior samples for
linear Gaussian and binary matrix factorization (noisy-or) Indian Buffet
Process models. Three different posterior sampling algorithms are provided:
Gibbs, reversible jump Markov chain Monte Carlo (RJMCMC), and sequential
importance sampling (SIS). Only the Gibbs and SIS samplers are provided for
the linear Gaussian IBP models. Platform: |
Size: 8368128 |
Author:赵逸笙 |
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Description: 由matlab实现的从高斯分布数据中进行Gibbs采样的示例程序，代码中我已加注释，比较好理解，对于学习MCMC的同学比较有帮助。当初我理解GIbbs采样非常痛苦，希望这份代码对与我有相同经历的同学帮上忙-Realized by MATLAB the Gauss distribution data of Gibbs sampling sample program, the code I have to add a comment, is better understood, more helpful for students learning MCMC. I understand GIbbs sampling is very painful, hope this code on and I have the same experience of the students help
Platform: |
Size: 3072 |
Author:Arogon |
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Description: 利用matlab进行GIBBS抽样分析来解决数据缺失的现象-GIBBS sampling analysis to solve the missing data using the MATLAB phenomenon Platform: |
Size: 3072 |
Author:刘颖 |
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Description: 由matlab实现的从高斯分布数据中进行Gibbs采样的示例程序，在数据分析，仿真，各个学科中均有广泛应用-By matlab gaussian distribution of the data in the Gibbs sampling sample program, the data analysis, simulation, are widely used in many disciplines Platform: |
Size: 23552 |
Author:jhon |
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Description: Matlab implementation of the EM and MCMC algorithm for SVMs as introduced in the paper Data augmentation for support vector machines http://ba.stat.cmu.edu/journal/2011/vol06/issue01/polson.pdf-This is a Matlab implementation of the fancy idea by Polson & Scott that reformulates the traditional binary linear SVM problem into a MAP (Maximum a Posteriori) estimation in a probabilistic generative model, and by use of the technique of data augmentation, makes it possible to do very easy and fast Gibbs sampling for the solution. Platform: |
Size: 7168 |
Author:saisai |
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Search - gibbs sampling matlab