| 1. | Bayesian estimation of time series model with trend
时间序列趋势项的贝叶斯估计 |
| 2. | Bayesian estimation of variance factor in the nonlinear model
非线形模型方差的贝叶斯估计 |
| 3. | Bayesian estimation of a circle
圆参数的贝叶斯估计 |
| 4. | Implementation of measuring the difference of phase based on bayesian estimation
基于贝叶斯频谱估计的相位差测量及实现 |
| 5. | Bayesian estimation for the parameter of exponential distribution under multiply type - censoring
定数截尾数据缺失场合下双参数指数分布参数的贝叶斯估计 |
| 6. | Decision theory , statistical classification , maximum likelihood and bayesian estimation , non - parametric methods , unsupervised learning and clustering
决策理论，统计分类，最大似然和贝叶斯估计，非参数方法，非监督的学习与聚类。 |
| 7. | In ps alt , we obtain the bayesian estimation of each parameter and marginal posterior density when the prior density of shape parameter is continuous using laplace method under ce model . in ssalt , we obtain the bayesian estimation of each parameter using the same method
在序加试验下，对于逆幂律模型，给出了参数的bayes统计分析，并利用laplace方法解决了分布的形状参数取为连续先验时各参数的bayes估计和参数后验边际密度。 |
| 8. | This paper analysed a kind of model of the general stochastic epidemic in regular population , discussed its solution and the solution ' s property , and further carried out bayesian estimation for its parameter , also gave a method of determining the super parameter of the prior distribution
摘要介绍了一类在固定人口条件下的标准流行病的随机模型，讨论了该模型的解及其性质，进一步对其参数进行了贝叶斯估计，对其先验分布的超参数也给出了确定的方法。 |
| 9. | This paper studies 3 kinds of algorithms : the viterbi algorithm , multiresolutional algorithm based on wavelet transformation and bayesian bootstrap algorithm . the viterbi algorithm is based on the hidden markov model theory and it is a kind of map estimation , this paper studies this algorithm and puts up an algorithm that suits for filtering in the presence of interference . multiresolutional algorithm takes full advantage of multiresolutional data , we can see it has a better filtering ability than the traditional filtering methods ; bootstrap algorithm is a recursive bayesian estimation , it describes the probability density function by the samples , so it can be used to nonlinear non - gaussion filtering , the simulation result of the two groundings is presented
Viterbi算法以隐马尔可夫理论为基础，是一种最大后验概率估计方法，本文对该算法进行了研究，给出了一种适合于非高斯干扰条件下的滤波方法；多分辨分析方法充分利用到了多分辨率测量数据所包含的信息，从仿真结果中可以看出，该方法的滤波精度要高于传统的滤波算法；自主滤波方法是一种递推贝叶斯估计算法，它利用采样点来描述目标状态的概率密度函数，因而适用于非线性、非高斯条件下的滤波，本文分别对这两种情况下的滤波进行了仿真。 |
| 10. | ( 1 ) the posterior distribution of the coefficient matrix , the precision matrix and covariance matrix , and their bayesian estimation under the matrix normal - wishart conjugate prior distribution . ( 2 ) the deduction of the predictive distribution , proved to be matrix t distribution . ( 3 ) the designs of bayesian multivariate mean value control charts in terms of the relationship between the multivariate wishart distribution and x2 distribution , the bayesian process capability index and its confidence lower limi
通过多方程模型系统的统计结构，证明了矩阵正态? wishart先验分布是模型参数( ， )的共轭先验分布，研究了该先验分布下模型系数矩阵、精度阵和协方差阵的后验分布及其贝叶斯估计，对模型预报密度函数进行了严格的数学推导，并将其应用于多元质量控制领域，构造了贝叶斯均值向量联合控制图；结合wishart分布与x ~ 2分布之间的关系，设计与推断了贝叶斯多指标过程能力指数及其贝叶斯置信下限。 |
