1.
Regularized Kernel Density Estimation Algorithm Based on Sparse Bayesian Regression
基于稀疏贝叶斯回归的正则化核密度估计算法
2.
Bayesian Predictive Analysis of the Multiple Linear Regression Model;
多重线性回归模型的贝叶斯预报分析
3.
Bayesian Method for Testing of Variable Structure Linear Regression Model
变结构线性回归模型显著性检验的贝叶斯方法
4.
Based on the Bayesian Survival Test Censored Regression Model and Its Application;
基于删失试验的贝叶斯生存回归模型及其应用
5.
Dynamic Linear Regression Modeling and Real-time Prediction Based on Bayesian Network and Neural Network;
基于贝叶斯-神经网络的动态回归建模与预测
6.
Bayesian Inference for Semiparametric Regression of Ordinal Response Data
有序属性响应半参数回归模型的贝叶斯分析
7.
Application of Bayesian Method to Modelling of Variable Structure Linear Regression Model
贝叶斯方法在变结构线性回归模型建模中的应用
8.
Research on Bayesian Analysis of Autoregressive Conditional Heteroscedaticity Models and Their Application;
自回归条件异方差模型的贝叶斯分析及其应用研究
9.
Bayesian Semiparametric Cox Regression Analysis of Interval-censored Data
区间删失数据下比例风险回归模型的贝叶斯半参数分析
10.
Measure Market Risk Based on Bayesian Quantile Regression Model with an Application
基于贝叶斯分位数回归的市场风险测度模型与应用
11.
Bayesian Regularization Neural Network Ensemble Model Based on Partial Least Squares Regression and Its Application in Stock Market;
偏最小二乘回归的贝叶斯正则化神经网络集成模型在证券分析预测中的应用
12.
A METHOD TO ESTIMATE THE ERROR VARRIANCE MATRIX W_t OF BDLM BY GENERALIZED EXPONENTIALLYWEIGHTED REGRESSION;
利用广义指数加权回归估计贝叶斯动态线性模型误差方差矩阵W_t的方法(英文)
13.
Bayesian Methods in Advanced Random Response Model;
改进的随机化回答模型的贝叶斯方法
14.
Bayesian Networks Construction and Their Applications in Data Mining
贝叶斯学习、贝叶斯网络与数据采掘
15.
The Probability Meaning of Motivation: the Probability Lumping Theorem and Non-Bayes Solution of the Monty Hall Problem;
动机的概率意义——概率归并定理与Monty Hall问题的非贝叶斯解
16.
Further Researches and Application of Composition Process in Qualitative Bayesian
定性贝叶斯网络中归并计算的进一步探讨及应用
17.
Who Established Bayesian Schools?Bayes or Laplace?;
谁开创了贝叶斯学派?——对拉普拉斯1774年一篇文章的回顾
18.
1. Bayesian statistics theory: Expatiate the mathematic principle of Bayesian Networks, Bayesian statistics.
1．贝叶斯统计理论：阐述贝叶斯网络的数学原理——贝叶斯统计。