6 citations · 20 across the 12 of their papers we have counts for
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stat.ME2015
An adaptive-to-model test for partially parametric single-index models
Xuehu Zhu, Xu Guo, Lixing Zhu
Residual marked empirical process-based tests are commonly used in regression models. However, they suffer from data sparseness in high-dimensional space when there are many covari…
stat.ME2015★ 1 cited
Heteroscedasticity Testing for Regression Models: A Dimension Reduction-based Model Adaptive
Xuehu Zhu, Fei Chen, Xu Guo +1
Heteroscedasticity testing is of importance in regression analysis. Existing local smoothing tests suffer severely from curse of dimensionality even when the number of covariates i…
stat.ME2015★ 2 cited
Enhancements of nonparametric generalized likelihood ratio test: Bias-correction and dimension reduction
Cuizhen Niu, Xu Guo, Lixing Zhu
Nonparametric generalized likelihood ratio test is popularly used for model checking for regressions. However, there are two issues that may be the barriers for its powerfulness. F…