论文标题
加速等渗分布回归的池粘附 - 侵入算法
Accelerating the pool-adjacent-violators algorithm for isotonic distributional regression
论文作者
论文摘要
在估计随机排序的分布函数的背景下，可以修改池贴量侵入算法（PAVA），从而大大减少计算时间。这是通过研究抗抗性加权最小二乘正方形对响应载体的依赖性来实现的。
In the context of estimating stochastically ordered distribution functions, the pool-adjacent-violators algorithm (PAVA) can be modified such that the computation times are reduced substantially. This is achieved by studying the dependence of antitonic weighted least squares fits on the response vector to be approximated.
