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matlab编写，贝叶斯估计程序，简单易懂。-Matlab prepared, Bayesian estimation procedures, simple and understandable.
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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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％For reference on gradient method: S.Hayking, K.Huber,
％and Z.Chen, \"Bayesian Sequential State Estimation for
％MIMO Wireless Communiations\", Proceedings of the IEEE,
％Vol.92, no.3, pp. 439, March 2004.
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On-Line MCMC Bayesian Model Selection
This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and
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sbgcop: Semiparametric Bayesian Gaussian copula estimation
This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric i
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sbgcop: Semiparametric Bayesian Gaussian copula estimation
This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric i
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贝叶斯估计方法的matlab程序,这是一个简单的例子,但很有用,Bayesian estimation methods matlab program, this is a simple example, but very useful
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张学工老师模式识别第一次作业，用贝叶斯方法和正态分布的监督参数估计对身高体重二维数据进行性别分类-Zhang engineering teacher pattern recognition for the first time operations, using Bayesian methods, and the supervision of normal height and weight of two-dimensional parameter estimation of the gende
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递归贝叶斯估计的工具包，旨在方便序列贝叶斯估计-A Matlab toolkit for Recursive Bayesian Estimation
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通过单一的Wi-Fi接入点的信号强度来判断移动物体的位置。比较新的一篇文章。用了蒙特卡罗抽样的办法－Monte Carlo Sampling Method－来估计位置。-This paper describes research towards a system
for locating wireless nodes in a home environment requiring
merely a single access point. The only sensor reading
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Speech Enhancement
A Bayesian Estimation Approach
Using Gaussian Mixture Model
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variational bayesian blind image restoration
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1 通过实验，掌握多元正态分布的最大似然估计；
2 掌握多元正态分布下的最小错误率的贝叶斯分类；
3 对其他的参数估计有更深的认识。
-1 experiment, master multivariate normal distribution maximum likelihood estimation 2 multivariate normal distribution under the minimum control error rate Bayesian classifier
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用监督参数估计中的贝叶斯方法估计条件概率密度的参数u-With the supervision of the Bayesian estimation method to estimate the parameters of the conditional probability density of u
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动态随机一般均衡 模型的贝叶斯估计程序，以及使用说明-Dynamic stochastic general equilibrium model of Bayesian estimation procedures
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Bayesian Deblurring with Integrated Noise Estimation-Bayesian Deblurring with Integrated Noise Estimation
Conventional non-blind image deblurring algorithms
involve natural image priors and maximum a-posteriori
(MAP) estimation. As a consequenc
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用R做贝叶斯估计，估计随机微分方程中的参数-Bayesian estimation made by R, the parameter estimates stochastic differential equation
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贝叶斯估计 和极大似然估计的matlab程序-matlab program of Bayesian estimation and maximum likelihood estimation
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ICA（主分量分析）算法和程序，调试通过可以使用，通过虚拟阵元进行DOA估计，利用贝叶斯原理估计混合logit模型的参数，通过matlab代码，复化三点Gauss-lengend公式求pi。- ICA (Principal Component Analysis) algorithm and procedures, Debugging can be used, Conducted through virtual array DOA estimation, Bayesian parameter es
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STM32制作的MP3的全部资料，通过虚拟阵元进行DOA估计，利用贝叶斯原理估计混合logit模型的参数。- STM32 all the information produced by the MP3, Conducted through virtual array DOA estimation, Bayesian parameter estimation principle mixed logit model.
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