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ReBEL is a Matlabtoolkit of functions and scr ipts, designed to
facilitate sequential Bayesian inference (estimation) in general state
space models. This software consolidates research on new methods for
recursive Bayesian estimation and Kalman
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ReBEL is a Matlab® toolkit of functions and scr ipts, designed to facilitate sequential Bayesian inference (estimation) in general state space models. This software consolidates research on new methods for recursive Bayesian estimation and Kalman
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本源码是基于Markov chain Monte Carlo (MCMC)的Bayesian inference工具包,其中包括MCMC采样，基于MCMC的高斯分类，同时描述了采样的一些方法。其中还有使用文档,toolbox is a collection of Matlab functions for Bayesian inference
with Markov chain Monte Carlo (MCMC) methods
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采用贝叶斯推论的数据融合，将CHAN算法和泰勒算法的结果经过处理，得到更好的定位结果-Bayesian inference using the data fusion, will CHAN Taylor algorithm and the results of algorithm after treatment, get better positioning results
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Gaussian process models for Bayesian analysis (for Matlab) V1.1.0-GPstuff toolbox is a collection of Matlab functions for Bayesian inference with Gaussian process models.The toolbox contains some of the recent developments in sparse Gaussian processe
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Inference program of Bayesian network -Inference program of Bayesian network
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Infer.NET is a .NET framework for machine learning. It provides state-of-the-art message-passing algorithms and statistical routines for performing Bayesian inference.
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贝叶斯推理的代码，建议下载，极具参考意义-Bayesian inference of code, it is recommended to download, great reference value
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Bayesian mixture of Gaussians. This set of files contains functions for performing inference and learning on a Bayesian Gaussian mixture model. Learning is carried out via the variational expectation maximization algorithm.
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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
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Bayesian Inference and Poisson Distribution
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Application that loads a Bayesian Network, and computes inference by enumeration on it. Also tests if the net is DAG and show the nets graph.
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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
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贝叶斯推断程序包，利用贝叶斯分析的方式通过少量观测数据实现可靠性分析-Bayesian Inference Package.
Bayesian analysis is used as a reliable method for analyzing GLM
when there are only few observations
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Bayesian inference of epistatic interactions in case-control studies
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采用贝叶斯推论的数据融合，将CHAN算法和泰勒算法的结结果经过处理，得到更好的定位结果，已通过测试。
-Bayesian inference using the data fusion, will CHAN Taylor algorithm and the results of algorrithm processed and better positioning of the results of the full source code, has been tested.
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英文文献，介绍贝叶斯理论、贝叶斯推断模型、主要部件等内容-English literature, describes the contents of the Bayesian theory, Bayesian inference model, the main components
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Bayesian Inference of Signaling Network Topology in a
Cancer Cell Line-To shed light on signaling network topology in specic
contexts, such as cancer, requires interrogation of multiple proteins
through time and statistical approaches to make
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Builds BN from topological
structure information and probability model
and predict diagnose from evidences using
BN inference
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该代码能够用python实现一般的贝叶斯推断，好用。(The code can be used to implement general Bayesian inference with Python.)
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