| Using data augmentation to facilitate conduct of phase I–II clinical trials with delayed outcomes IH Jin, S Liu, PF Thall, Y Yuan Journal of the American Statistical Association 109 (506), 525-536, 2014 | 103 | 2014 |
| An adaptive exchange algorithm for sampling from distributions with intractable normalizing constants F Liang, IH Jin, Q Song, JS Liu Journal of the American Statistical Association 111 (513), 377-393, 2016 | 54 | 2016 |
| Mapping Unobserved Item–Respondent Interactions: A Latent Space Item Response Model with Interaction Map M Jeon, IH Jin, M Schweinberger, S Baugh Psychometrika 86 (2), 378-403, 2021 | 34 | 2021 |
| A Monte Carlo Metropolis-Hastings algorithm for sampling from distributions with intractable normalizing constants F Liang, IH Jin Neural computation 25 (8), 2199-2234, 2013 | 26 | 2013 |
| A Doubly Latent Space Joint Model for Local Item and Person Dependence in the Analysis of Item Response Data IH Jin, M Jeon Psychometrika 84 (1), 236-260, 2019 | 24 | 2019 |
| Social network mediation analysis: A latent space approach H Liu, IH Jin, Z Zhang, Y Yuan Psychometrika 86 (1), 272-298, 2021 | 18 | 2021 |
| A Bayesian adaptive phase I/II clinical trial design with late‐onset competing risk outcomes Y Zhang, S Cao, C Zhang, IH Jin, Y Zang Biometrics 77 (3), 796-808, 2021 | 18 | 2021 |
| Structural Equation Modeling of Social Networks: Specification, Estimation, and Application H Liu, IH Jin, Z Zhang Multivariate behavioral research 53 (5), 714-730, 2018 | 16 | 2018 |
| Bayesian analysis for exponential random graph models using the adaptive exchange sampler IH Jin, Y Yuan, F Liang Statistics and its interface 6 (4), 559, 2013 | 15 | 2013 |
| Fitting social network models using varying truncation stochastic approximation MCMC algorithm IH Jin, F Liang Journal of Computational and Graphical Statistics 22 (4), 927-952, 2013 | 12 | 2013 |
| Network Mediation Analysis Using Model-Based Eigenvalue Decomposition C Che, IH Jin, Z Zhang Structural Equation Modeling: A Multidisciplinary Journal 28 (1), 148-161, 2021 | 10 | 2021 |
| Phase I trial design for drug combinations with Bayesian model averaging IH Jin, L Huo, G Yin, Y Yuan Pharmaceutical statistics 14 (2), 108-119, 2015 | 10 | 2015 |
| A Bayesian Hierarchical Spatial Model for Dental Caries Assessment Using Non-gaussian Markov Random Fields IH Jin, Y Yuan, D Bandyopadhyay The annals of applied statistics 10 (2), 884, 2016 | 9 | 2016 |
| Multilevel network item response modelling for discovering differences between innovation and regular school systems in Korea IH Jin, M Jeon, M Schweinberger, J Yun, L Lin Journal of the Royal Statistical Society Series C 71 (5), 1225-1244, 2022 | 7* | 2022 |
| Bayesian model selection for high-dimensional Ising models, with applications to educational data J Park, IH Jin, M Schweinberger Computational Statistics & Data Analysis 165, 107325, 2022 | 7 | 2022 |
| Differentially Private Generation of Social Networks via Exponential Random Graph Models F Liu, E Eugenio, IH Jin, C Bowen 2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020 | 6 | 2020 |
| Use of SAMC for Bayesian analysis of statistical models with intractable normalizing constants IH Jin, F Liang Computational Statistics & Data Analysis 71, 402-416, 2014 | 6 | 2014 |
| Bayesian analysis for exponential random graph model using double Metropolis-Hastings sampler IH Jin, F Liang Unpublished working paper, 1-19, 2009 | 6 | 2009 |
| Stochastic approximation Hamiltonian Monte Carlo J Yun, M Shin, IH Jin, F Liang Journal of Statistical Computation and Simulation, 1-22, 2020 | 3 | 2020 |
| Differentially Private Synthesis and Sharing of Network Data Via Bayesian Exponential Random Graph Models F Liu, EC Eugenio, IH Jin, CM Bowen Journal of Survey Statistics and Methodology 10 (3), 753-784, 2022 | 2 | 2022 |
