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- In this paper, the maximum likelihood esti mati on and Bayesian estimation of parameter N are obtained. 本文推导出了 N的极大似然估计 Bayes估计 .
- A modified approach to combine the Bayesian estimation and the hard gating is proposed. 提出了一种综合贝叶斯估计和门限的改进方法。
- In this paper,the theory and method of Bayesian statistics are used and the Bayesian estimation of the Langlie test is solved. 该文通过Bayes统计的理论和方法 ,解决了Langlie试验的Bayes估计问题。
- The Bayesian estimation is derived through statistical analysis and it is shown to be equivalent to the maximization of the a Posteriori Probability. 通过理论分析得到了简化的贝叶斯信道估计权值，其等同将后向概率的最大化。
- The principle of Recursive Bayesian estimation was introduced which was the basis of Particle filter, and the significance of importance function to the design of particle filter was illustrated. 介绍了作为粒子滤波理论基础的递推贝叶斯估计的基本概念,说明了重要性函数对于粒子滤波器的设计是至关重要的。
- The present paper covers the Bayesian estimation of Pareto distribution Parameter and its admissibility. And it is also proposed that the bayes lowers confidence limit and the exact form of hierarchical Bayes estimation. 讨论了在熵损失下Pareto分布的参数的Bayes估计及多层Bayes估计;给出了参数的置信下限和容许性估计的一般形式;最后证明了极大似然估计是不容许的.
- When the number of groups is assumed known, firstly, under particularly prior of parameter, we prove that the bayesian estimation of the normal mixture model parameters is admissibility. 在混合元个数已知的情况下，首先证明了正态混合模型参数在特定先验分布下，其贝叶斯估计的容许性；
- Based on wavelet domain Hidden Markov model, a novel speckle suppression method for medical ultrasound images is presented which combines Bayesian estimation and homomorphic filtering. 在此基于小波域隐马尔可夫树模型,将贝叶斯估计和同态滤波思想有机结合,提出一种新的医学超声图像去噪方法。
- The article introduces a kind of images restoration method, which make use of relative characters of image pixels, and combines genetic algorithms inducting line process with Bayesian estimation. 文中介绍了一种利用图像象素之间的相关特性，将遗传算法和贝叶斯估计相结合的图像恢复的方法，并在算法中引入线过程。
- On Bayesian Estimation for Normal Mean 正态均值的Bayes估计
- Bayesian Estimation for Absolute Error Loss 绝对误差损失下的Bayes估计
- A fast convergence Bayesian estimator of the class A model parameters is derived and calculated using the Markov Chain Monte Carlo (MCMC) procedure. 摘要基于马氏链蒙特卡罗法(MCMC)，提出一种快速收敛特性的A类噪声模型参数贝叶斯估计算法。
- Bayesian Estimation of Parameters of AR (p) Model 自回归模型参数的贝叶斯估计
- nonparametric Bayesian estimation 非参数贝叶斯估计
- hierarchical Bayesian estimation 多层Bayes估计
- Bayesian estimation learning system 贝叶斯估计学习系统
- synthesize hierarchical Bayesian estimation 综合多层Bayes估计
- He has lowered himself in my estimation. 依我看，他降低了自己的身份。
- In my estimation, he is a more suitable candidate. 我认为他是更合适的人选。
- Bayesian estimation of variance factor in the nonlinear model 非线形模型方差的贝叶斯估计
