-
-
on bayesian modeling of fat tails and skewness.pdf
We consider a Bayesian analysis of linear regression models that can account for skewed
error distributions with fat tails. The latter two features are often observed characteristics
of empirical data sets, and we will formally incorporate them in the ...
-
-
基于改进Bayesian-MCMC的突发水污染事件预测模型参数率定方法
... 容量控制非均匀流两种情景下不同观测噪声对参数率定值的影响,并与由贝叶斯-马尔科夫链蒙特卡罗方法得到的参数值和真实值进行对比.结果表明:改进Bayesian-MCMC方法在计算精度、适用性和抗噪声等方面优于贝叶斯-马尔科夫链蒙特卡罗方法,能较好地率定模型参数,并为构建突发水污染事件预测模型提供了新思路.
-
一种基于Bayesian信念网络的客户行为预测方法
<p>提出一种基于Bayesian信念网络(BN)的客户行为预测方法.通过知识学习构建客户行为Bayesian网络(CBN),根据CBN对预实例计算联合分布概率,准确预测了一对一营销优化中的客户行为.CBN学习算法包括连线和定向部分,复杂为O(N4)条件相关测试.在零售行业一对一营销实际应用表明,CBN学习算法较现有BN学习算法更快构建CBN,预测精度高于朴素Bayesian分类法.</p>
-
-
-
-
-
-
-