36 citations · 85 across the 12 of their papers we have counts for
12 papers
Comparing multiple latent space embeddings using topological analysis
Kisung You, Ilmun Kim, Ick Hoon Jin +2
The latent space model is one of the well-known methods for statistical inference of network data. While the model has been much studied for a single network, it has not attracted…
A Bayesian Precision Response-adaptive Phase II Clinical Trial Design for Radiotherapies with Competing Risk Survival Outcomes
Jina Park, Wenjing Hu, Ick Hoon Jin +2
Many phase II clinical trials have used survival outcomes as the primary endpoints in recent decades. Suppose the radiotherapy is evaluated in a phase II trial using survival outco…
Mapping unobserved item-respondent interactions: A latent space item response model with interaction map
Minjeong Jeon, Ick Hoon Jin, Michael Schweinberger +1
Classic item response models assume that all items with the same difficulty have the same response probability among all respondents with the same ability. These assumptions, howev…
Bayesian Shrinkage for Functional Network Models, with Applications to Longitudinal Item Response Data
Jaewoo Park, Yeseul Jeon, Minsuk Shin +2
Longitudinal item response data are common in social science, educational science, and psychology, among other disciplines. Studying the time-varying relationships between items is…
Applying the Network Item Response Model to Student Assessment Data
Alex Brodersen, Ick Hoon Jin, Ying Cheng +1
This study discusses an alternative tool for modeling student assessment data. The model constructs networks from a matrix item responses and attempts to represent these data in lo…
Bayesian Model Selection for High-Dimensional Ising Models, With Applications to Educational Data
Jaewoo Park, Ick Hoon Jin, Michael Schweinberger
Doubly-intractable posterior distributions arise in many applications of statistics concerned with discrete and dependent data, including physics, spatial statistics, machine learn…
Network Mediation Analysis Using Model-based Eigenvalue Decomposition
Chang Che, Ick Hoon Jin, Zhiyong Zhang
This paper proposes a new two-stage network mediation method based on the use of a latent network approach -- model-based eigenvalue decomposition -- for analyzing social network d…
Multilevel Network Item Response Modeling for Discovering Differences Between Innovation and Regular School Systems in Korea
Ick Hoon Jin, Minjeong Jeon, Michael Schweinberger +2
The innovation school system in South Korea has been developed in response to the traditional high-pressure school system in South Korea, with a view to cultivating a bottom-up and…
Bayesian Hierarchical Spatial Model for Small Area Estimation with Non-ignorable Nonresponses and Its Applications to the NHANES Dental Caries Assessments
Ick Hoon Jin, Fang Liu, Evercita C. Eugenio +2
The National Health and Nutrition Examination Survey (NHANES) is a major program of the National Center for Health Statistics, designed to assess the health and nutritional status…
Stochastic Approximation Hamiltonian Monte Carlo
Jonghyun Yun, Minsuk Shin, Ick Hoon Jin +1
Recently, the Hamilton Monte Carlo (HMC) has become widespread as one of the more reliable approaches to efficient sample generation processes. However, HMC is difficult to sample…
Social Network Mediation Analysis: a Latent Space Approach
Haiyan Liu, Ick Hoon Jin, Zhiyong Zhang +1
Social networks contain data on both actor attributes and social connections among them. Such connections reflect the dependence among social actors, which is important for individ…
A Doubly Latent Space Joint Model for Local Item and Person Dependence in the Analysis of Item Response Data
Ick Hoon Jin, Minjeong Jeon
Item response theory (IRT) models explain an observed item response as a function of a respondent's latent trait and the item's property. IRT is one of the most widely utilized too…