Gongjun Xu

发表

Identifiability of Diagnostic Classification Models

Gongjun Xu, Stephanie Zhang, Gongjun Xu, 2015, Psychometrika.

Statistical Analysis of Q-Matrix Based Diagnostic Classification Models

Z. Ying, Yunxiao Chen, Gongjun Xu, 2015, Journal of the American Statistical Association.

Rare-event Analysis for Extremal Eigenvalues of the Beta-Laguerre Ensemble

Tiefeng Jiang, K. Leder, Gongjun Xu, 2014, 1408.6892.

Partial-mastery cognitive diagnosis models

E. Erosheva, Gongjun Xu, Zhuoran Shang, 2021, The Annals of Applied Statistics.

Assessing Item-Level Fit for the DINA Model

Zhan Shu, Gongjun Xu, Zhuoran Shang, 2015, Applied psychological measurement.

Learning Item-Attribute Relationship in Q-Matrix Based Diagnostic Classification Models

Z. Ying, Gongjun Xu, Jingchen Liu, 2011, 1106.0721.

Sequential Analysis of the Cox Model under Response Dependent Allocation.

Z. Ying, Gongjun Xu, Xiaolong Luo, 2011, Statistica Sinica.

On the phase transition of Wilks’ phenomenon

Gongjun Xu, Yinqiu He, Bo Meng, 2020, 2008.05974.

ASYMPTOTICALLY INDEPENDENT U-STATISTICS IN HIGH-DIMENSIONAL TESTING.

W. Pan, Chong Wu, Gongjun Xu, 2018, Annals of statistics.

Inference for Optimal Differential Privacy Procedures for Frequency Tables

Naisyin Wang, Gongjun Xu, Chengcheng Li, 2022, Journal of Data Science.

A General Framework for Sequential and Adaptive Methods in Survival Studies

Z. Ying, Gongjun Xu, Xiaolong Luo, 2011 .

Adaptive Tests for Bandedness of High-dimensional Covariance Matrices

Shu-rong Zheng, Gongjun Xu, Xiaoyi Wang, 2022, Statistica Sinica.

Comment: Ridge Regression, Ranking Variables and Improved Principal Component Regression

Xuefei Zhang, Ji Zhu, Gongjun Xu, 2020, Technometrics.

Statistica Sinica Preprint No : SS-2017-0354 Title An Adaptive Test on High-dimensional Parameters in Generalized Linear Models

W. Pan, Chong Wu, Chong Wu, 2018 .

Estimating three- and four-parameter MIRT models with importance-weighted sampling enhanced variational auto-encoder

Gongjun Xu, Tianci Liu, Chun Wang, 2022, Frontiers in Psychology.

Regularized Variational Estimation for Exploratory Item Factor Analysis.

Gongjun Xu, Jiaying Xiao, Chun Wang, 2022, Psychometrika.

A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses

Gongjun Xu, Yuqi Gu, Zhenghao Zeng, 2021, Psychometrika.

A Mixed Stochastic Approximation EM (MSAEM) Algorithm for the Estimation of the Four-Parameter Normal Ogive Model.

Gongjun Xu, Xiangbin Meng, 2022, Psychometrika.

High-dimensional Inference for Generalized Linear Models with Hidden Confounding

Kean Ming Tan, Gongjun Xu, Jing Ouyang, 2022, 2209.03482.

The Sufficient and Necessary Condition for the Identifiability and Estimability of the DINA Model

Gongjun Xu, Yuqi Gu, 2018, Psychometrika.

Identifiability of Diagnostic Classification Models

Gongjun Xu, Stephanie S. Zhang, 2015, Psychometrika.

A Note on the Likelihood Ratio Test in High-Dimensional Exploratory Factor Analysis

Gongjun Xu, Yinqiu He, Zi Wang, 2021, Psychometrika.

A Two-Stage Approach to Differentiating Normal and Aberrant Behavior in Computer Based Testing

Gongjun Xu, Zhuoran Shang, Chun Wang, 2016, Psychometrika.

Correction for Item Response Theory Latent Trait Measurement Error in Linear Mixed Effects Models

Gongjun Xu, Chun Wang, Xue Zhang, 2019, Psychometrika.

Transformed Dynamic Quantile Regression on Censored Data

Chi Wing Chu, Gongjun Xu, Tony Sit, 2020 .

A mixture hierarchical model for response times and response accuracy.

Chun Wang, Gongjun Xu, Gongjun Xu, 2015, The British journal of mathematical and statistical psychology.

Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension

Gongjun Xu, Yinqiu He, Tiefeng Jiang, 2018, Statistica Sinica.

Adaptive testing for association between two random vectors in moderate to high dimensions

Wei Pan, Gongjun Xu, W. Pan, 2017, Genetic epidemiology.

Survival analysis following dynamic randomization

Xiaolong Luo, Gongjun Xu, Dongsheng Tu, 2016, Contemporary clinical trials communications.

Regression Modeling for Recurrent Events Possibly with an Informative Terminal Event Using R Package reReg

Chiung-Yu Huang, Jun Yan, S. Chiou, 2021, J. Stat. Softw..

An Adaptive Test on High-dimensional Parameters in Generalized Linear Models

W. Pan, Chong Wu, Gongjun Xu, 2019, Statistica Sinica.

High-Dimensional Inference for Generalized Linear Models with Hidden Confounding

Kean Ming Tan, Gongjun Xu, Jing Ouyang, 2022, 2209.03482.

Survival Analysis via Ordinary Differential Equations

Weijing Tang, Ji Zhu, Gongjun Xu, 2020, Journal of the American Statistical Association.

Semiparametric estimation of the accelerated mean model with panel count data under informative examination times

Sy Han Chiou, Chiung-Yu Huang, Gongjun Xu, 2018, Biometrics.

Bootstrapping a change-point Cox model for survival data.

Zhiliang Ying, Bodhisattva Sen, Gongjun Xu, 2013, Electronic journal of statistics.

DIF Statistical Inference and Detection without Knowing Anchoring Items

Yunxiao Chen, Gongjun Xu, Chengcheng Li, 2021 .

A Note on Statistical Inference for Noisy Incomplete 1-Bit Matrix

Yunxiao Chen, Gongjun Xu, Chengcheng Li, 2021, 2105.01769.

Statistical Inference for Noisy Incomplete Binary Matrix

Yunxiao Chen, Gongjun Xu, Chengcheng Li, 2021, J. Mach. Learn. Res..

DIF Statistical Inference Without Knowing Anchoring Items

Yunxiao Chen, Gongjun Xu, Chengcheng Li, 2021, Psychometrika.

Correction for Item Response Theory Latent Trait Measurement Error in Linear Mixed Effects Models

Gongjun Xu, Chun Wang, Xue Zhang, 2019, Psychometrika.

Estimation and Inference of Quantile Regression for Survival Data Under Biased Sampling

Chiung-Yu Huang, Gongjun Xu, Lan Wang, 2017, Journal of the American Statistical Association.

Semiparametric regression analysis for alternating recurrent event data

Xianghua Luo, Chiung-Yu Huang, Gongjun Xu, 2018, Statistics in medicine.

Speeding up Monte Carlo simulations for the adaptive sum of powered score test with importance sampling

Wei Pan, Gongjun Xu, Yangqing Deng, 2020, Biometrics.

A Regularization-Based Adaptive Test for High-Dimensional Generalized Linear Models

Xiaotong Shen, Wei Pan, Gongjun Xu, 2020, Journal of machine learning research : JMLR.

An adaptive two-sample test for high-dimensional means

Wei Pan, Lifeng Lin, Gongjun Xu, 2016, Biometrika.

Semiparametric Regression Analysis of Panel Count Data: A Practical Review

Sy Han Chiou, Jun Yan, Gongjun Xu, 2018, International statistical review = Revue internationale de statistique.

Identifiability of Cognitive Diagnosis Models with Polytomous Responses

Gongjun Xu, Mengqi Lin, 2023, 2304.01363.

Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models

Gongjun Xu, Chenchen Ma, Jing Ouyang, 2021, Psychometrika.

Hypothesis Testing for Hierarchical Structures in Cognitive Diagnosis Models

Gongjun Xu, Chenchen Ma, Gongjun Xu, 2021, Journal of Data Science.

A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis

Gongjun Xu, Yuqi Gu, 2020, Journal of the American Statistical Association.

Identifiability of Hierarchical Latent Attribute Models

Gongjun Xu, Yuqi Gu, 2019, Statistica Sinica.

Identifiability of restricted latent class models with binary responses

Gongjun Xu, Gongjun Xu, 2016, 1603.04140.

Sufficient and Necessary Conditions for the Identifiability of the Q-matrix

Gongjun Xu, Yuqi Gu, Gongjun Xu, 2018, Statistica Sinica.

Identification and Estimation of Hierarchical Latent Attribute Models pdf

Gongjun Xu, Yuqi Gu, Gongjun Xu, 2019, ArXiv.

Learning Attribute Patterns in High-Dimensional Structured Latent Attribute Models

Gongjun Xu, Yuqi Gu, Gongjun Xu, 2019, J. Mach. Learn. Res..

The Sufficient and Necessary Condition for the Identifiability and Estimability of the DINA Model

Gongjun Xu, Yuqi Gu, Gongjun Xu, 2017, Psychometrika.

Identifying Latent Structures in Restricted Latent Class Models

Gongjun Xu, Zhuoran Shang, Gongjun Xu, 2018, Journal of the American Statistical Association.

Partial identifiability of restricted latent class models

Gongjun Xu, Yuqi Gu, Gongjun Xu, 2018, 1803.04353.

Model based bootstrap methods for interval censored data

Bodhisattva Sen, Gongjun Xu, B. Sen, 2013, Comput. Stat. Data Anal..

Identifiability of Latent Class Models with Covariates

Gongjun Xu, Jing Ouyang, 2021, Psychometrika.

Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data

E. Erosheva, D. Dunson, Gongjun Xu, 2021, J. Mach. Learn. Res..

Detecting Aberrant Behavior and Item Preknowledge: A Comparison of Mixture Modeling Method and Residual Method

Chun Wang, Gongjun Xu, Zhuoran Shang, 2018 .

Sequential Gibbs Sampling Algorithm for Cognitive Diagnosis Models with Many Attributes

N. Shi, Gongjun Xu, Xue Zhang, 2020, Multivariate behavioral research.

Gaussian variational estimation for multidimensional item response theory.

Gongjun Xu, Xue Zhang, Chun Wang, 2020, The British journal of mathematical and statistical psychology.

Rare-event analysis for extremal eigenvalues of white wishart matrices

Gongjun Xu, Kevin Leder, Tiefeng Jiang, 2014 .

Some Asymptotic Results of Gaussian Random Fields with Varying Mean Functions and the Associated Processes

Jingcheng Liu, Gongjun Xu, 2011, 1104.1801.

Using Lasso and Adaptive Lasso to Identify DIF in Multidimensional 2PL Models

Gongjun Xu, Chun Wang, Ruoyi Zhu, 2022, Multivariate behavioral research.

Generalized scale-change models for recurrent event processes under informative censoring.

Sy Han Chiou, Jun Yan, Chiung-Yu Huang, 2020, Statistica Sinica.

A Tensor-EM Method for Large-Scale Latent Class Analysis with Clustering Consistency

Gongjun Xu, Yuqi Gu, Zhenghao Zeng, 2021 .

Exploratory Item Classification Via Spectral Graph Clustering

Jingchen Liu, Zhiliang Ying, Yunxiao Chen, 2017, Applied psychological measurement.

Hypothesis Testing of the Q-matrix

Jingchen Liu, Zhiliang Ying, Gongjun Xu, 2018, Psychometrika.

Learning Large Q-Matrix by Restricted Boltzmann Machines

Gongjun Xu, Chenchen Ma, Chengcheng Li, 2020, Psychometrika.

A Two-Stage Approach to Differentiating Normal and Aberrant Behavior in Computer Based Testing

Chun Wang, Gongjun Xu, Zhuoran Shang, 2016, Psychometrika.

Data-Driven Learning of Q-Matrix

Jingchen Liu, Zhiliang Ying, Gongjun Xu, 2012, Applied psychological measurement.

Theory of the Self-learning Q-Matrix.

Jingchen Liu, Zhiliang Ying, Gongjun Xu, 2010, Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability.

Incorporating External Risk Information with the Cox Model under Population Heterogeneity: Applications to Trans-Ancestry Polygenic Hazard Scores

M. Zawistowski, L. Fritsche, Ji Zhu, 2023, 2302.11123.

Debiased Inference on Treatment Effect in a High-Dimensional Model

Gongjun Xu, Xuming He, Jingshen Wang, 2019, Journal of the American Statistical Association.

Identifiability of Hierarchical Latent Attribute Models

Gongjun Xu, Yuqi Gu, 2019 .

Joint Scale-Change Models for Recurrent Events and Failure Time

Sy Han Chiou, Chiung-Yu Huang, Gongjun Xu, 2017, Journal of the American Statistical Association.

A Note on the Likelihood Ratio Test in High-Dimensional Exploratory Factor Analysis

Gongjun Xu, Yinqiu He, Zi Wang, 2020, Psychometrika.

High-Dimensional Inference for Generalized Linear Models with Hidden Confounding

Kean Ming Tan, Gongjun Xu, Ouyang Jing, 2022, 2209.03482.

Uniformly efficient simulation for extremes of Gaussian random fields

Xiaoou Li, Gongjun Xu, Xiaoou Li, 2017, Journal of Applied Probability.

Efficient simulations for the exponential integrals of Hölder continuous gaussian random fields

Jingchen Liu, Gongjun Xu, Jingcheng Liu, 2014, ACM Trans. Model. Comput. Simul..

On the Density Functions of Integrals of Gaussian Random Fields

Jingcheng Liu, Gongjun Xu, 2013, Advances in Applied Probability.

On the conditional distributions and the efficient simulations of exponential integrals of Gaussian random fields

Jingcheng Liu, Gongjun Xu, 2012, 1204.5546.

Probability ON THE CONDITIONAL DISTRIBUTIONS AND THE EFFICIENT SIMULATIONS OF EXPONENTIAL INTEGRALS OF GAUSSIAN RANDOM FIELDS

Jingcheng Liu, Gongjun Xu, 2013 .

Identifiability and Cognitive Diagnosis Models

Gongjun Xu, Gongjun Xu, 2019, Handbook of Diagnostic Classification Models.

Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis

J. de la Torre, Gongjun Xu, Chenchen Ma, 2020, Psychometrika.

Marginalized maximum a posteriori estimation for the four-parameter logistic model under a mixture modelling framework.

Gongjun Xu, Xiangbin Meng, Jiwei Zhang, 2020, The British journal of mathematical and statistical psychology.