变系数模型的Bayes样条估计

本文考察变系数模型y=x1β1(t)+x2β2(t)+…+xpβp(t)+∈,∈-N(0,σ2),βr(t),r=1,…,P是光滑的连续函数.假定βr(t)是三阶的B样条函数,给结点的个数一个均匀先验,用贝叶斯模型平均的方法估计函数系数,这种估计方法充分考虑到各个函数系数的差别,允许不同的函数系数有不同的结点个数,即允许不同的函数系数使用不同的光滑参数.

Electrocatalytic reduction of CO_2 over Pd nanoparticles

With the support by the National Natural Science Foundation of China and the Ministry of Science and Technology of China,the research team led by Prof.Wang Guoxiong and Prof.Bao Xinhe at the State Key Laboratory of Catalysis,Dalian Institute of Chemical Physics,Chinese Academy of Sciences,cooperated with the research team led by Prof.Wang Jianguo from Zhejiang University of Technology,and repor-