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20162026
most citedAn approximate randomization test for high-dimensional two-sample Behrens-Fisher problem under arbitrary covariances

2 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ME2026

Random Projection Tests via Cauchy Combination for Two-Sample Mean

Yanyan Ouyang, Ruoxi Peng, Wangli Xu +1

High-dimensional two-sample mean testing is challenging when the dimension exceeds the sample size. The random projection method proposed by Lopes et al. (2011) addresses this diff…

stat.ME2022

Multifold Cross-Validation Model Averaging for Generalized Additive Partial Linear Models

Ze Chen, Jun Liao, Wangli Xu +1

Generalized additive partial linear models (GAPLMs) are appealing for model interpretation and prediction. However, for GAPLMs, the covariates and the degree of smoothing in the no…

stat.ME2022

Variable Importance Based Interaction Modeling with an Application on Initial Spread of COVID-19 in China

Jianqiang Zhang, Ze Chen, Yuhong Yang +1

Interaction selection for linear regression models with both continuous and categorical predictors is useful in many fields of modern science, yet very challenging when the number…

q-fin.RM2021

Risk and return prediction for pricing portfolios of non-performing consumer credit

Siyi Wang, Xing Yan, Bangqi Zheng +4

We design a system for risk-analyzing and pricing portfolios of non-performing consumer credit loans. The rapid development of credit lending business for consumers heightens the n…

math.ST2021★ 2 cited

An approximate randomization test for high-dimensional two-sample Behrens-Fisher problem under arbitrary covariances

Rui Wang, Wangli Xu

This paper is concerned with the problem of comparing the population means of two groups of independent observations. An approximate randomization test procedure based on the test…

stat.ME2016★ 2 cited

Penalized Maximum Likelihood Estimator for Skew Normal Mixtures

Libin Jin, Wangli Xu, Liping Zhu +1

Skew normal mixture models provide a more flexible framework than the popular normal mixtures for modelling heterogeneous data with asymmetric behaviors. Due to the unboundedness o…