Jingchen Liu

Citado por

	Total	Desde 2019
Citas	2744	1887
Índice h	24	19
Índice i10	44	30

400

200

100

300

20072008200920102011201220132014201520162017201820192020202120222023202412 14 12 9 23 50 56 114 99 99 118 227 231 275 301 329 382 361

Acceso público

Ver todo

45 artículos

2 artículos

disponibles

no disponibles

Basado en requisitos de financiación

Coautores

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

Seguir

Jingchen Liu

Columbia University

Dirección de correo verificada de stat.columbia.edu - Página principal

Applied probability Statistics Psychometrics Monte Carlo methods


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	540	2013
Data-driven learning of Q-matrix J Liu, G Xu, Z Ying Applied psychological measurement 36 (7), 548-564, 2012	232	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	214	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	127	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	100	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	68	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	56	2021
On the identifiability of diagnostic classification models G Fang, J Liu, Z Ying Psychometrika 84, 19-40, 2019	53	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	46	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
Regularized latent class analysis with application in cognitive diagnosis Y Chen, X Li, J Liu, Z Ying Psychometrika 82, 660-692, 2017	33	2017
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

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Seguir

Citado por

Coautores