20142020
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Research Output 2014 2019

  • 22 Article
  • 2 Conference contribution
2019
3 Citations (Scopus)

A reinforcement learning approach to personalized learning recommendation systems

Tang, X., Chen, Y., Li, X., Liu, J. & Ying, Z., Feb 1 2019, In : British Journal of Mathematical and Statistical Psychology. 72, 1, p. 108-135 28 p.

Research output: Contribution to journalArticle

Recommendation System
Learning Systems
Reinforcement Learning
Learning
Engine

Joint Maximum Likelihood Estimation for High-Dimensional Exploratory Item Factor Analysis

Chen, Y., Li, X. & Zhang, S., Mar 15 2019, In : Psychometrika. 84, 1, p. 124-146 23 p.

Research output: Contribution to journalArticle

Maximum likelihood estimation
Factor analysis
Factor Analysis
Maximum Likelihood Estimation
Maximum Likelihood Estimator

Sequential Hypothesis Test with Online Usage-Constrained Sensor Selection

Li, S., Li, X., Wang, X. & Liu, J., Jul 1 2019, In : IEEE Transactions on Information Theory. 65, 7, p. 4392-4410 19 p., 8688570.

Research output: Contribution to journalArticle

Sensors
hypothesis testing
experiment
costs
Sensor networks

Statistical analysis of complex problem-solving process data: An event history analysis approach

Chen, Y., Li, X., Liu, J. & Ying, Z., Jan 1 2019, In : Frontiers in Psychology. 10, MAR, 486.

Research output: Contribution to journalArticle

Open Access
Life Change Events
Aptitude
Students
2018
1 Citation (Scopus)

A multilevel approach towards unbiased sampling of random elliptic partial differential equations

Li, X., Liu, J. & Xu, S., Dec 1 2018, In : Advances in Applied Probability. 50, 4, p. 1007-1031 25 p.

Research output: Contribution to journalArticle

Elliptic Partial Differential Equations
Partial differential equations
Sampling
Multilevel Methods
Higher Order Approximation
1 Citation (Scopus)

Chernoff index for cox test of separate parametric families

Li, X., Liu, J. & Ying, Z., Feb 2018, In : Annals of Statistics. 46, 1, p. 1-29 29 p.

Research output: Contribution to journalArticle

Error Probability
Generalized Likelihood Ratio Test
Type II error
Asymptotic Efficiency
Significance level

Moderate deviation for random elliptic PDE with small noise

Li, X., Liu, J., Lu, J. & Zhou, X., Oct 2018, In : Annals of Applied Probability. 28, 5, p. 2781-2813 33 p.

Research output: Contribution to journalArticle

Moderate Deviations
Elliptic PDE
Rare Events
Uncertainty
Randomness
1 Citation (Scopus)

Robust Measurement via A Fused Latent and Graphical Item Response Theory Model

Chen, Y., Li, X., Liu, J. & Ying, Z., Sep 1 2018, In : Psychometrika. 83, 3, p. 538-562 25 p.

Research output: Contribution to journalArticle

Educational Measurement
Model Theory
Latent Trait
Learning
Psychology
1 Citation (Scopus)
4 Downloads (Pure)

Uniformly efficient simulation for extremes of Gaussian random fields

Li, X. & Xu, G., Mar 1 2018, In : Journal of Applied Probability. 55, 1, p. 157-178 22 p.

Research output: Contribution to journalArticle

File
Gaussian Random Field
Rare Events
Extremes
Rare Event Simulation
Simultaneous Estimation
2017

Asymptotically Optimal Sequential Design for Rank Aggregation

Chen, X., Chen, Y. & Li, X., 2017, In : arXiv preprint arXiv:1710.06056.

Research output: Contribution to journalArticle

4 Citations (Scopus)

Decentralized sequential composite hypothesis test based on one-bit communication

Li, S., Li, X., Wang, X. & Liu, J., 2017, In : IEEE Transactions on Information Theory.

Research output: Contribution to journalArticle

4 Citations (Scopus)

Exploratory Item Classification Via Spectral Graph Clustering

Chen, Y., Li, X., Liu, J., Xu, G. & Ying, Z., 2017, In : Applied Psychological Measurement. p. 0146621617692977 1 p.

Research output: Contribution to journalArticle

Optimal stopping and worker selection in crowdsourcing: An adaptive sequential probability ratio test framework

Li, X., Chen, Y., Chen, X., Liu, J. & Ying, Z., 2017, In : arXiv preprint arXiv:1708.08374.

Research output: Contribution to journalArticle

8 Citations (Scopus)

Recommendation System for Adaptive Learning

Chen, Y., Li, X., Liu, J. & Ying, Z., 2017, In : Applied Psychological Measurement. p. 014662161769795

Research output: Contribution to journalArticle

Learning
learning
Vanilla
Psychometrics
psychometrics
2 Citations (Scopus)

Regularized Latent Class Analysis with Application in Cognitive Diagnosis

Chen, Y., Li, X., Liu, J. & Ying, Z., Sep 1 2017, In : Psychometrika. 82, 3, p. 660-692 33 p.

Research output: Contribution to journalArticle

Latent Class Analysis
Diagnostics
Model
Lack of Fit
Latent Class Model
2016

A Fused Latent and Graphical Model for Multivariate Binary Data

Chen, Y., Li, X., Liu, J. & Ying, Z., Jun 28 2016, In : arXiv: 1606.08925.

Research output: Contribution to journalArticle

Parameter estimation

Chernoff index for cox test of separate parametric families

Li, X., Liu, J. & Ying, Z., 2016, In : arXiv preprint arXiv:1606.08248.

Research output: Contribution to journalArticle

2 Citations (Scopus)

On the Tail Probabilities of Aggregated Lognormal Random Fields with Small Noise

Li, X., Liu, J. & Xu, G., Feb 2016, In : Mathematics of Operations Research. 41, 1, p. 236-246 11 p.

Research output: Contribution to journalArticle

Tail Probability
Risk analysis
Random Field
Converge
Risk Analysis
1 Citation (Scopus)

Optimal sequential test with finite horizon and constrained sensor selection

Li, S., Li, X., Wang, X. & Liu, J., Aug 10 2016, Proceedings - ISIT 2016; 2016 IEEE International Symposium on Information Theory. Institute of Electrical and Electronics Engineers Inc., p. 1546-1550 5 p. 7541558. (IEEE International Symposium on Information Theory - Proceedings; vol. 2016-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sequential Test
Optimal Test
Finite Horizon
Sensor
Sensors

Sequential hypothesis test with online usage-constrained sensor selection

Li, S., Li, X., Wang, X. & Liu, J., 2016, In : arXiv preprint arXiv:1601.06447.

Research output: Contribution to journalArticle

2015
2 Citations (Scopus)

Multi-sensor generalized sequential probability ratio test using level-triggered sampling

Li, S., Li, X., Wang, X. & Liu, J., 2015, 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015. Institute of Electrical and Electronics Engineers Inc., p. 363-367 5 p. 7418218

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sampling
Sensors
Fusion reactions
Communication
3 Citations (Scopus)

Rare-event simulation and efficient discretization for the supremum of Gaussian random fields

Li, X. & Liu, J., Sep 2015, In : Advances in Applied Probability. 47, 3, p. 787-816 30 p.

Research output: Contribution to journalArticle

Rare Event Simulation
Gaussian Random Field
Supremum
Discretization
Change of Measure
2014
11 Citations (Scopus)

Generalized Sequential Probability Ratio Test for Separate Families of Hypotheses

Li, X., Liu, J. & Ying, Z., Oct 25 2014, In : Sequential Analysis. 33, 4, p. 539-563 25 p.

Research output: Contribution to journalArticle

Sequential Probability Ratio Test
Likelihood Ratio Statistic
Boundary Crossing
Statistics
Type II error