Yunlu Jiang

发表

Robust Variable Selection With Exponential Squared Loss

Heping Zhang, Xueqin Wang, Mian Huang, 2013, Journal of the American Statistical Association.

Nonparametric quantile regression models via majorization minimization-algorithm

Yunlu Jiang, 2014 .

Penalized weighted composite quantile regression in the linear regression model with heavy-tailed autocorrelated errors

Yunlu Jiang, Hong Li, 2014 .

Robust estimation in partially linear regression models

Yunlu Jiang, 2015 .

Outlier detection and robust variable selection via the penalized weighted LAD-LASSO method

Yunlu Jiang, Yan Wang, Jiantao Zhang, 2020, Journal of applied statistics.

Robust variable selection based on the random quantile LASSO

Yunlu Jiang, Yan Wang, Jiantao Zhang, 2019, Commun. Stat. Simul. Comput..

Robust variable selection for mixture linear regression models

Yunlu Jiang, Yunlu Jiang, 2015 .

A robust and efficient estimation method for partially nonlinear models via a new MM algorithm

G. Tian, Y. Fei, Yunlu Jiang, 2019 .

S-estimator in partially linear regression models

Yunlu Jiang, 2017 .

Robust mixture regression via an asymmetric exponential power distribution

Yunlu Jiang, M. Huang, Xie Wei, 2022, Communications in Statistics - Simulation and Computation.

Nonparametric two-sample tests of high dimensional mean vectors via random integration.

Yunlu Jiang, Canhong Wen, Yukang Jiang, 2022, Journal of the American Statistical Association.

An exponential-squared estimator in the autoregressive model with heavy-tailed errors

Yunlu Jiang, 2016 .

Adaptive Exponential Power Depth with Application to Classification

Xueqin Wang, Yunlu Jiang, Canhong Wen, 2018, Journal of Classification.

A robust and efficient estimation method for partially nonlinear models via a new MM algorithm

G. Tian, Y. Fei, Yunlu Jiang, 2017, Statistical Papers.

Adaptive Exponential Power Depth with Application to Classification

Xueqin Wang, Yunlu Jiang, Canhong Wen, 2018, J. Classif..

Double-Penalized Quantile Regression in Partially Linear Models

Yunlu Jiang, 2015 .

Use of random integration to test equality of high dimensional covariance matrices.

Heping Zhang, Yunlu Jiang, Canhong Wen, 2023, Statistica Sinica.

Depth-based weighted empirical likelihood and general estimating equations

Shaoli Wang, Xueqin Wang, Yunlu Jiang, 2011 .

Robust Estimation Using Modified Huber’s Functions With New Tails

Liya Fu, Xueqin Wang, Yunlu Jiang, 2018, Technometrics.

A Mixture Autoregressive Model Based on an Asymmetric Exponential Power Distribution

Yunlu Jiang, Zehong Zhuang, 2023, Axioms.