using mcmc method to estimate double exponential jump diffusion model

  • 双指数跳跃扩散模型的McMC估计
  • 来源:互联网摘选更新时间:2026-07-01 10:55:49

  • 重点词汇
  • usingv.使用( use的现在分词 );利用;耗费;吸(毒);
  • methodn.方法;有条不紊;
  • modeln.模型;模特儿;模式;典型;
  • Double[人名] [英格兰人姓氏] 达布尔 Dobel的变体;[地名] [法国] 杜布勒(地区);
  • exponentialadj.指数的,幂数的;越来越快的;
  • diffusionn.扩散;<物,化>扩散;传播;<人>(文化等的)传流;
  • jumpv.跳;跳上;跃过;快速移动;猛地一跳;突升;突然转变;略去;突然跳出正常位置;突然袭击;
  • JUMPabbr.Java user migration path Java 用户迁移路径;
  • 相关例句
1、

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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2、

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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3、

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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4、

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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5、

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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6、

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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7、

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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8、

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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9、

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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10、

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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11、

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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12、

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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13、

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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14、

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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15、

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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16、

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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18、

it is an important issue to construct the text classification with incomplete data. an improved method that based on bernoulli mixture model and expectation maximization ( em) algorithm was introduced.

在Bernoulli混合模型和期望最大化(EM)算法的基础上给出了一种基于不完整数据的改进方法。

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19、

in order to improve the accuracy of eye detection in low quality face images, an eye detection method based on gradient integral projection and expectation maximization algorithm is proposed.

为提高低质量人脸图像中人眼检测的精度,提出了一种梯度积分投影结合最大期望算法的人眼检测算法。

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20、

the work in this part presents a semi-supervised approach based on expectation maximization to incorporate unlabeled bug reports to improve bug triage.

本工作设计了基于期望最大化的半监督分派方法,融合无标签bug报告,进而提高bug分派。

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