Gongjun Xu
Gongjun Xu
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Cited by
Cited by
Data-driven learning of Q-matrix
J Liu, G Xu, Z Ying
Applied psychological measurement 36 (7), 548-564, 2012
Statistical analysis of Q-matrix based diagnostic classification models
Y Chen, J Liu, G Xu, Z Ying
Journal of the American Statistical Association 110 (510), 850-866, 2015
A mixture hierarchical model for response times and response accuracy
C Wang, G Xu
British Journal of Mathematical and Statistical Psychology 68 (3), 456-477, 2015
Identifiability of diagnostic classification models
G Xu, S Zhang
Psychometrika 81, 625-649, 2016
Identifiability of restricted latent class models with binary responses
G Xu
The Annals of Statistics 45 (2), 675-707, 2017
Theory of the self-learning Q-matrix
J Liu, G Xu, Z Ying
Bernoulli: official journal of the Bernoulli Society for Mathematical …, 2013
Identifying latent structures in restricted latent class models
G Xu, Z Shang
Journal of the American Statistical Association 113 (523), 1284-1295, 2018
An adaptive two-sample test for high-dimensional means
G Xu, L Lin, P Wei, W Pan
Biometrika 103 (3), 609-624, 2016
The sufficient and necessary condition for the identifiability and estimability of the DINA model
Y Gu, G Xu
Psychometrika 84, 468-483, 2019
A two-stage approach to differentiating normal and aberrant behavior in computer based testing
C Wang, G Xu, Z Shang
Psychometrika 83, 223-254, 2018
Partial identifiability of restricted latent class models
Y Gu, G Xu
Annals of Statistics 48 (4), 2082-2107, 2020
Red cell distribution width is associated with presence, stage, and grade in patients with renal cell carcinoma
FM Wang, G Xu, Y Zhang, LL Ma
Disease markers 2014, 2014
Detecting aberrant behavior and item preknowledge: A comparison of mixture modeling method and residual method
C Wang, G Xu, Z Shang, N Kuncel
Journal of Educational and Behavioral Statistics 43 (4), 469-501, 2018
Sufficient and Necessary Conditions for the Identifiability of the -matrix
Y Gu, G Xu
Statistica Sinica 31, 449-472, 2021
Asymptotically independent U-statistics in high-dimensional testing
Y He, G Xu, C Wu, W Pan
Annals of Statistics 49 (1), 154-181, 2021
On initial item selection in cognitive diagnostic computerized adaptive testing
G Xu, C Wang, Z Shang
British Journal of Mathematical and Statistical Psychology 69 (3), 291-315, 2016
Model based bootstrap methods for interval censored data
B Sen, G Xu
Computational Statistics & Data Analysis 81, 121-129, 2015
Observation of the polaronic character of excitons in a two-dimensional semiconducting magnet CrI3
W Jin, HH Kim, Z Ye, G Ye, L Rojas, X Luo, B Yang, F Yin, JSA Horng, ...
Nature communications 11 (1), 4780, 2020
Assessing item-level fit for the DINA model
C Wang, Z Shu, Z Shang, G Xu
Applied Psychological Measurement 39 (7), 525-538, 2015
Learning attribute patterns in high-dimensional structured latent attribute models
Y Gu, G Xu
Journal of Machine Learning Research 20 (2019), 2019
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