supported by the National Natural Science Foundation of China under Grant Nos.U23A2064 and 12031005。
In the past two decades,model averaging,as a way to solve model uncertainty,has attracted more and more attention.In this paper,the authors propose a jackknife model averaging(JMA) method for the quantile single-index...
supported by the National Natural Science Foundation of China under Grant Nos.11971323 and 12031016。
In this paper,the authors propose a frequentist model averaging method for composite quantile regression with diverging number of parameters.Different from the traditional model averaging for quantile regression which...
目的采用有限采样法建立接受自体造血干细胞移植(autologous stem cell transplantation,ASCT)的淋巴瘤患者体内白消安暴露量-药时曲线下面积(area under the concentration-time curve,AUC)的估算模型。方法选取12名适合接受ASCT的淋...
In developing Artificial Neural Networks(ANNs),the available dataset is split into three categories:training,validation and testing.However,an important problem arises:How to trust the predic-tion provided by a partic...
An efficient resampling reliability approach was developed to consider the effect of statistical uncertainties in input properties arising due to insufficient data when estimating the reliability of rock slopes and tu...