3 citations · 9 across the 6 of their papers we have counts for
6 papers
Model Averaging for Support Vector Machine by Cross-Validation
Jiahui Zou, Chaoxia Yuan, Xinyu Zhang +2
Support vector machine (SVM) is a well-known statistical technique for classification problems in machine learning and other fields. An important question for SVM is the selection…
An outlier-robust model averaging approach by Mallows-type criterion
Miaomiao Wang, Guohua Zou
Model averaging is an alternative to model selection for dealing with model uncertainty, which is widely used and very valuable. However, most of the existing model averaging metho…
Jackknife Model Averaging for Composite Quantile Regression
Miaomiao Wang, Guohua Zou
Model averaging considers the model uncertainty and is an alternative to model selection. In this paper, we propose a frequentist model averaging estimator for composite quantile r…
On the asymptotic distribution of model averaging based on information criterion
Miaomiao Wang, Xinyu Zhang, Alan T. K. Wan +1
Smoothed AIC (S-AIC) and Smoothed BIC (S-BIC) are very widely used in model averaging and are very easily to implement. Especially, the optimal model averaging method MMA and JMA h…
Improved Horvitz-Thompson Estimator in Survey Sampling
Xianpeng Zong, Rong Zhu, Guohua Zou
The Horvitz-Thompson (HT) estimator is widely used in survey sampling. However, the variance of the HT estimator becomes large when the inclusion probabilities are highly heterogen…
Semiparametric Small Area Estimation of Crop Acreage under Partially Linear Model
Rong Zhu, Guohua Zou, Chun Wang +1
Small area estimation under linear mixed models often assumes that the small area effect is random effect in almost all previous studies. However, in this paper a new approach is p…