Lixing Zhu

According to our database1, Lixing Zhu authored at least 50 papers between 2007 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Asymptotics, finite-sample comparisons and applications for two-sample tests with functional data.
J. Multivariate Analysis, 2019

On some characterizations and multidimensional criteria for testing homogeneity, symmetry and independence.
J. Multivariate Analysis, 2019

Hierarchical viewpoint discovery from tweets using Bayesian modelling.
Expert Syst. Appl., 2019

A goodness-of-fit test for variable-adjusted models.
Computational Statistics & Data Analysis, 2019

Estimation for biased partial linear single index models.
Computational Statistics & Data Analysis, 2019

Model checking for regressions: An approach bridging between local smoothing and global smoothing methods.
Computational Statistics & Data Analysis, 2019

Model checking for general linear regression with nonignorable missing response.
Computational Statistics & Data Analysis, 2019

2018
Pivotal variable detection of the covariance matrix and its application to high-dimensional factor models.
Statistics and Computing, 2018

Estimating a sparse reduction for general regression in high dimensions.
Statistics and Computing, 2018

Generalized principal Hessian directions for mixture multivariate skew elliptical distributions.
J. Multivariate Analysis, 2018

Pairwise distance-based tests for conditional symmetry.
Computational Statistics & Data Analysis, 2018

Semiparametric double robust and efficient estimation for mean functionals with response missing at random.
Computational Statistics & Data Analysis, 2018

2017
An adaptive-to-model test for partially parametric single-index models.
Statistics and Computing, 2017

Multiple-population shrinkage estimation via sliced inverse regression.
Statistics and Computing, 2017

Inference for biased transformation models.
Computational Statistics & Data Analysis, 2017

2016
Group-wise semiparametric modeling: A SCSE approach.
J. Multivariate Analysis, 2016

Inference for biased models: A quasi-instrumental variable approach.
J. Multivariate Analysis, 2016

The Dual Central Subspaces in dimension reduction.
J. Multivariate Analysis, 2016

Asymtotics of Dantzig selector for a general single-index model.
J. Systems Science & Complexity, 2016

Heteroscedasticity testing for regression models: A dimension reduction-based model adaptive approach.
Computational Statistics & Data Analysis, 2016

Principal minimax support vector machine for sufficient dimension reduction with contaminated data.
Computational Statistics & Data Analysis, 2016

2015
Heteroscedasticity checks for single index models.
J. Multivariate Analysis, 2015

Robust estimating equation-based sufficient dimension reduction.
J. Multivariate Analysis, 2015

Inference for mixed models of ANOVA type with high-dimensional data.
J. Multivariate Analysis, 2015

Functional Nonlinear Mixed Effects Models for Longitudinal Image Data.
Proceedings of the Information Processing in Medical Imaging, 2015

2014
Multi-index regression models with missing covariates at random.
J. Multivariate Analysis, 2014

Empirical likelihood inference in linear regression with nonignorable missing response.
Computational Statistics & Data Analysis, 2014

Dimension reduction with missing response at random.
Computational Statistics & Data Analysis, 2014

Transformation-based estimation.
Computational Statistics & Data Analysis, 2014

2013
Sparse sufficient dimension reduction using optimal scoring.
Computational Statistics & Data Analysis, 2013

Nonparametric feature screening.
Computational Statistics & Data Analysis, 2013

Automatic variable selection for longitudinal generalized linear models.
Computational Statistics & Data Analysis, 2013

2012
On a dimension reduction regression with covariate adjustment.
J. Multivariate Analysis, 2012

Nonlinear models with measurement errors subject to single-indexed distortion.
J. Multivariate Analysis, 2012

On model-free conditional coordinate tests for regressions.
J. Multivariate Analysis, 2012

Estimation for a marginal generalized single-index longitudinal model.
J. Multivariate Analysis, 2012

Non-convex penalized estimation in high-dimensional models with single-index structure.
J. Multivariate Analysis, 2012

Empirical likelihood for a varying coefficient partially linear model with diverging number of parameters.
J. Multivariate Analysis, 2012

An alternating determination-optimization approach for an additive multi-index model.
Computational Statistics & Data Analysis, 2012

2011
Sufficient dimension reduction in regressions through cumulative Hessian directions.
Statistics and Computing, 2011

Consistent tuning parameter selection in high dimensional sparse linear regression.
J. Multivariate Analysis, 2011

2010
Bias-corrected empirical likelihood in a multi-link semiparametric model.
J. Multivariate Analysis, 2010

Adaptive confidence region for the direction in semiparametric regressions.
J. Multivariate Analysis, 2010

Empirical likelihood inference in partially linear single-index models for longitudinal data.
J. Multivariate Analysis, 2010

On an asymptotically more efficient estimation of the single-index model.
J. Multivariate Analysis, 2010

A sparse eigen-decomposition estimation in semiparametric regression.
Computational Statistics & Data Analysis, 2010

2009
Nonconcave penalized inverse regression in single-index models with high dimensional predictors.
J. Multivariate Analysis, 2009

Inference on a regression model with noised variables and serially correlated errors.
J. Multivariate Analysis, 2009

Influence diagnostics and outlier tests for varying coefficient mixed models.
J. Multivariate Analysis, 2009

2007
On hybrid methods of inverse regression-based algorithms.
Computational Statistics & Data Analysis, 2007


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