research on gps receiver autonomous integrity monitoring algorithm based on mcmc particle filtering

as a particle filter, mcmc can effectively solve this problem.

MCMC作为粒子滤波器的一种它可以有效地解决上述的粒子退化问题正引起人们的关注。

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the estimation of garch model parameters based on mcmc algorithms

基于MCMC方法的GARCH模型参数估计

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bayesian representation of prior information and mcmc method in microwave imaging

先验信息的贝叶斯描述及MCMC方法在微波成像中的应用研究

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using mcmc method to estimate double exponential jump diffusion model

双指数跳跃扩散模型的McMC估计

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weibull regression model based on mcmc and its application in reliability

基于MCMC稳态模拟的Weibull回归模型及其可靠性应用

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research on mcmc particle filter algorithm based on effective particles

有效粒子数MCMC粒子滤波算法研究

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application of change point model based on the mcmc method in the analysis of reliability data

一种基于MCMC的变点模型在可靠性数据分析中的应用

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information fusion using adaptive mcmc method in integrated navigation system

组合导航系统的自适应MCMC信息融合算法

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next, mcmc algorithm is applied for posterior simulation, so as to achieve the distribution characteristics and parameter estimation.

接着，通过马尔科夫链蒙特卡洛算法模拟参数的后验分布，获得各参数的分布特征，从而实现模型参数估计。

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a preliminary study on electrical structure and dynamics of the ultra-high pressure metamorphic belt beneath the dabie mountains

大别山超高压变质带深部电性结构及其动力学意义初步研究

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the eclogite bearing high pressure metamorphic belt in the jiaonan uplift is the eastward extension of the dabie ultra high pressure belt.

胶南隆起含榴辉岩高压变质带为大别超高压带的东延部分。

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the mean field variational method is a basic variational approximate inference method.

均值场变分方法是图模型最基本的变分近似推理方法。

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probabilistic graphical model and variational inference is a new machine learning framework, and is a good method applied to uncertain problem or complex problem. it is applied in computer vision and natural language processing widely.

概率图模型和变分推理是一个新型的机器学习框架，是处理不确定性和复杂性问题的有力工具，被广泛应用于计算机视觉和自然语言处理等领域。

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we also provide mean field variational inference for model learning.

本文给出了平均场变分推断法进行模型学习和推断的具体方法。

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second, the gaussian exact variational inference algorithm and the gaussian mean field variational inference algorithm are designed based on the gaussian markov random field models.

在高斯马尔可夫随机场基本模型上，设计了精确变分推理算法和均值场变分推理算法。

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variational inference is an important deterministic approximate inference method, which computes the approximate expectation of random variables through variational iterations.

变分推理应用变分迭代计算出随机变量的近似期望值，是现代人工智能学科一种重要的近似概率推理方法。

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the correct noc of different images can be obtained by minimizing the atec and the parameters in the criterion are estimated by expectation maximization algorithm and maximum pseudo-likelihood method.

当该准则达到最小时对应的类数就是图像正确分割所要求的分类数。准则中各参数由期望最大法和最大伪似然法来估计。

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in this paper, according to the characters of projection data, a scatter correction method which uses maximum likelihood expectation maximization ( mlem) algorithm based on poisson model is proposed.

我们根据投影图像的分布特征，基于泊松数据模型，利用最大似然期望值法（Maximum likelihood expectation maximization，MLEM）对正弦图进行散射校正。

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in the paper an algorithm for maximum-likelihood image restoration based on the expectation maximization ( em) algorithm using the depth-variant imaging model in three-dimensional optical sectioning microscopy is proposed.

该文提出了一种基于EM算法的最大似然图像复原算法，此算法是基于三维显微光学切片中成像随深度变化的模型实现的。

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the parameter estimation method of the expectation maximization ( em) algorithm-based link travel time reliability evaluation model is developed, by combining the improved random interpolation method and the em algorithm.

针对单一的移动源行程时间数据获取条件，将改进的随机插补方法与期望最大化（EM）算法相结合，建立了缺失数据条件下、基于EM算法的路段行程时间可靠性评价模型的参数估计方法。

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