Jingchen Liu

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zhiliang yingprofessor of statistics, columbia universityVerified email at stat.columbia.edu
Xiaoou LiUniversity of MinnesotaVerified email at umn.edu
Yunxiao ChenDepartment of Statistics, London School of Economics and Political ScienceVerified email at lse.ac.uk
Gongjun XuUniversity of MichiganVerified email at umich.edu
Jose BlanchetStanford UniversityVerified email at stanford.edu
Andrew GelmanProfessor of Statistics and Political Science, Columbia UniversityVerified email at stat.columbia.edu
Sophia Rabe-HeskethProfessor, University of California, Berkeley, and Institute of Education, LondonVerified email at berkeley.edu
Shang LiAT&T Labs-ResearchVerified email at research.att.com
Robert AdlerEmeritus Professor, Electrical Engineering, TechnionVerified email at technion.ac.il
Yu-Sung SuDepartment of Political Science, Tsinghua UniversityVerified email at tsinghua.edu.cn
Jennifer HillNew York UniversityVerified email at nyu.edu
Margarita AlegriaProfessor Harvard Medical SchoolVerified email at mgh.harvard.edu
Jianfeng Lu 鲁剑锋Department of Mathematics, Department of Chemistry and Department of Physics, Duke UniversityVerified email at math.duke.edu
Guang LinAssociate Dean for Research, Professor of Mathematics, Mech Eng, Statistics, Purdue UniversityVerified email at purdue.edu
Jae-Kyung WooSchool of Risk and Actuarial Studies, UNSW Business SchoolVerified email at unsw.edu.au
Xiao-Li MengWhipple V. N. Jones Professor of Statistics, Harvard UniversityVerified email at stat.harvard.edu

Jingchen Liu

Columbia University

Verified email at stat.columbia.edu - Homepage

Applied probability Statistics Psychometrics Monte Carlo methods


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A nondegenerate penalized likelihood estimator for variance parameters in multilevel models Y Chung, S Rabe-Hesketh, V Dorie, A Gelman, J Liu Psychometrika 78, 685-709, 2013	543	2013
Data-driven learning of Q-matrix J Liu, G Xu, Z Ying Applied psychological measurement 36 (7), 548-564, 2012	234	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	213	2015
On the stationary distribution of iterative imputations J Liu, A Gelman, J Hill, YS Su Biometrika 101 (1), 155-173, 2014	146	2014
Weakly informative prior for point estimation of covariance matrices in hierarchical models Y Chung, A Gelman, S Rabe-Hesketh, J Liu, V Dorie Journal of Educational and Behavioral Statistics 40 (2), 136-157, 2015	142	2015
Recommendation system for adaptive learning Y Chen, X Li, J Liu, Z Ying Applied psychological measurement 42 (1), 24-41, 2018	129	2018
Theory of the self-learning Q-matrix J Liu, G Xu, Z Ying Bernoulli: official journal of the Bernoulli Society for Mathematical …, 2013	108	2013
A reinforcement learning approach to personalized learning recommendation systems X Tang, Y Chen, X Li, J Liu, Z Ying British Journal of Mathematical and Statistical Psychology 72 (1), 108-135, 2019	102	2019
State-dependent importance sampling for regularly varying random walks JH Blanchet, J Liu Advances in Applied Probability 40 (04), 1104-1128, 2008	73	2008
Latent feature extraction for process data via multidimensional scaling X Tang, Z Wang, Q He, J Liu, Z Ying Psychometrika 85 (2), 378-397, 2020	70	2020
Efficient Monte Carlo for high excursions of Gaussian random fields RJ Adler, JH Blanchet, J Liu	65	2012
Latent Variable Selection for Multidimensional Item Response Theory Models via Regularization J Sun, Y Chen, J Liu, Z Ying, T Xin Psychometrika 81 (4), 921-939, 2016	61	2016
An exploratory analysis of the latent structure of process data via action sequence autoencoders X Tang, Z Wang, J Liu, Z Ying British Journal of Mathematical and Statistical Psychology 74 (1), 1-33, 2021	58	2021
On the identifiability of diagnostic classification models G Fang, J Liu, Z Ying Psychometrika 84, 19-40, 2019	55	2019
Statistical analysis of complex problem-solving process data: An event history analysis approach Y Chen, X Li, J Liu, Z Ying Frontiers in Psychology 10, 486, 2019	47	2019
Fluid heuristics, Lyapunov bounds and efficient importance sampling for a heavy-tailed G/G/1 queue J Blanchet, P Glynn, JC Liu Queueing Systems 57, 99-113, 2007	43	2007
Generalized sequential probability ratio test for separate families of hypotheses X Li, J Liu, Z Ying Sequential analysis 33 (4), 539-563, 2014	37	2014
Latent class analysis of recurrent events in problem-solving items H Xu, G Fang, Y Chen, J Liu, Z Ying Applied Psychological Measurement 42 (6), 478-498, 2018	36	2018
Item Response Theory--A Statistical Framework for Educational and Psychological Measurement Y Chen, X Li, J Liu, Z Ying arXiv preprint arXiv:2108.08604, 2021	32	2021
Regularized latent class analysis with application in cognitive diagnosis Y Chen, X Li, J Liu, Z Ying Psychometrika 82, 660-692, 2017	32	2017

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