Lixing Zhu

According to our database1, Lixing Zhu authored at least 55 papers between 2007 and 2020.

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

Timeline

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PhD thesis 
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Bibliography

2020
Dimensionality determination: A thresholding double ridge ratio approach.
Comput. Stat. Data Anal., 2020

Generalized kernel-based inverse regression methods for sufficient dimension reduction.
Comput. Stat. Data Anal., 2020

Model checks for functional linear regression models based on projected empirical processes.
Comput. Stat. Data Anal., 2020

Neural Temporal Opinion Modelling for Opinion Prediction on Twitter.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

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

On some characterizations and multidimensional criteria for testing homogeneity, symmetry and independence.
J. Multivar. Anal., 2019

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

A goodness-of-fit test for variable-adjusted models.
Comput. Stat. Data Anal., 2019

Estimation for biased partial linear single index models.
Comput. Stat. Data Anal., 2019

Model checking for regressions: An approach bridging between local smoothing and global smoothing methods.
Comput. Stat. Data Anal., 2019

Model checking for general linear regression with nonignorable missing response.
Comput. Stat. Data Anal., 2019

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

Estimating a sparse reduction for general regression in high dimensions.
Stat. Comput., 2018

Generalized principal Hessian directions for mixture multivariate skew elliptical distributions.
J. Multivar. Anal., 2018

Pairwise distance-based tests for conditional symmetry.
Comput. Stat. Data Anal., 2018

Semiparametric double robust and efficient estimation for mean functionals with response missing at random.
Comput. Stat. Data Anal., 2018

2017
An adaptive-to-model test for partially parametric single-index models.
Stat. Comput., 2017

Multiple-population shrinkage estimation via sliced inverse regression.
Stat. Comput., 2017

Inference for biased transformation models.
Comput. Stat. Data Anal., 2017

2016
Group-wise semiparametric modeling: A SCSE approach.
J. Multivar. Anal., 2016

Inference for biased models: A quasi-instrumental variable approach.
J. Multivar. Anal., 2016

The Dual Central Subspaces in dimension reduction.
J. Multivar. Anal., 2016

Asymtotics of Dantzig selector for a general single-index model.
J. Syst. Sci. Complex., 2016

Heteroscedasticity testing for regression models: A dimension reduction-based model adaptive approach.
Comput. Stat. Data Anal., 2016

Principal minimax support vector machine for sufficient dimension reduction with contaminated data.
Comput. Stat. Data Anal., 2016

2015
Heteroscedasticity checks for single index models.
J. Multivar. Anal., 2015

Robust estimating equation-based sufficient dimension reduction.
J. Multivar. Anal., 2015

Inference for mixed models of ANOVA type with high-dimensional data.
J. Multivar. Anal., 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. Multivar. Anal., 2014

Transformation-based model averaged tail area inference.
Comput. Stat., 2014

Empirical likelihood inference in linear regression with nonignorable missing response.
Comput. Stat. Data Anal., 2014

Dimension reduction with missing response at random.
Comput. Stat. Data Anal., 2014

Transformation-based estimation.
Comput. Stat. Data Anal., 2014

2013
Sparse sufficient dimension reduction using optimal scoring.
Comput. Stat. Data Anal., 2013

Nonparametric feature screening.
Comput. Stat. Data Anal., 2013

Automatic variable selection for longitudinal generalized linear models.
Comput. Stat. Data Anal., 2013

2012
On a dimension reduction regression with covariate adjustment.
J. Multivar. Anal., 2012

Nonlinear models with measurement errors subject to single-indexed distortion.
J. Multivar. Anal., 2012

On model-free conditional coordinate tests for regressions.
J. Multivar. Anal., 2012

Estimation for a marginal generalized single-index longitudinal model.
J. Multivar. Anal., 2012

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

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

An alternating determination-optimization approach for an additive multi-index model.
Comput. Stat. Data Anal., 2012

2011
Sufficient dimension reduction in regressions through cumulative Hessian directions.
Stat. Comput., 2011

Consistent tuning parameter selection in high dimensional sparse linear regression.
J. Multivar. Anal., 2011

2010
Bias-corrected empirical likelihood in a multi-link semiparametric model.
J. Multivar. Anal., 2010

Adaptive confidence region for the direction in semiparametric regressions.
J. Multivar. Anal., 2010

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

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

A sparse eigen-decomposition estimation in semiparametric regression.
Comput. Stat. Data Anal., 2010

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

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

Influence diagnostics and outlier tests for varying coefficient mixed models.
J. Multivar. Anal., 2009

2007
On hybrid methods of inverse regression-based algorithms.
Comput. Stat. Data Anal., 2007


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