Ick Hoon Jin
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View article: Analyzing Classroom Interaction Data Using Prompt Engineering and Network Analysis
Analyzing Classroom Interaction Data Using Prompt Engineering and Network Analysis Open
Classroom interactions play a vital role in developing critical thinking, collaborative problem-solving abilities, and enhanced learning outcomes. While analyzing these interactions is crucial for improving educational practices, the exami…
View article: Comment on egusphere-2024-604
Comment on egusphere-2024-604 Open
Abstract. This study presents advancements in the processing of satellite remote sensing data, focusing mainly on Aerosol Optical Depth (AOD) retrievals from the Geostationary Environment Monitoring Spectrometer (GEMS). Th…
View article: Analysis of Log Data from an International Online Educational Assessment System: A Multi-state Survival Modeling Approach to Reaction Time between and across Action Sequence
Analysis of Log Data from an International Online Educational Assessment System: A Multi-state Survival Modeling Approach to Reaction Time between and across Action Sequence Open
With increasingly available computer-based or online assessments, researchers have shown keen interest in analyzing log data to improve our understanding of test takers' problem-solving processes. In this paper, we propose a multi-state su…
View article: Network-based Topic Structure Visualization
Network-based Topic Structure Visualization Open
In the real world, many topics are inter-correlated, making it challenging to investigate their structure and relationships. Understanding the interplay between topics and their relevance can provide valuable insights for researchers, guid…
View article: A Bayesian adaptive biomarker stratified phase II randomized clinical trial design for radiotherapies with competing risk survival outcomes
A Bayesian adaptive biomarker stratified phase II randomized clinical trial design for radiotherapies with competing risk survival outcomes Open
In recent decades, many phase II clinical trials have used survival outcomes as the primary endpoints. If radiotherapy is involved, the competing risk issue often arises because the time to disease progression can be censored by the time t…
View article: Impacts of Innovation School System in Korea: A Latent Space Item Response Model with Neyman-Scott Point Process
Impacts of Innovation School System in Korea: A Latent Space Item Response Model with Neyman-Scott Point Process Open
South Korea's educational system has faced criticism for its lack of focus on critical thinking and creativity, resulting in high levels of stress and anxiety among students. As part of the government's effort to improve the educational sy…
View article: Comparing multiple latent space embeddings using topological analysis
Comparing multiple latent space embeddings using topological analysis Open
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 much attention to analyze collectively when multiple networ…
View article: lsirm12pl: An R package for latent space item response modeling
lsirm12pl: An R package for latent space item response modeling Open
The item response model in latent space (LSIRM; Jeon et al., 2021) uncovers unobserved interactions between respondents and items in the item response data by embedding both in a shared latent metric space. The R package lsirm12pl implemen…
View article: A Latent Space Accumulator Model for Response Time: Applications to Cognitive Assessment Data
A Latent Space Accumulator Model for Response Time: Applications to Cognitive Assessment Data Open
Response time has attracted increased interest in educational and psychological assessment for, e.g., measuring test takers' processing speed, improving the measurement accuracy of ability, and understanding aberrant response behavior. Mos…
View article: A Bayesian Precision Response-adaptive Phase II Clinical Trial Design for Radiotherapies with Competing Risk Survival Outcomes
A Bayesian Precision Response-adaptive Phase II Clinical Trial Design for Radiotherapies with Competing Risk Survival Outcomes Open
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 outcomes. In that case, the competing risk issue often arises be…
View article: Differentially Private Synthesis and Sharing of Network Data via Bayesian Exponential Random Graph Models.
Differentially Private Synthesis and Sharing of Network Data via Bayesian Exponential Random Graph Models. Open
information significantly better than two other approaches in network structural statistics and inference for ERGMs and latent space models. Furthermore, DP-ERGM satisfies node DP through modeling the global network structure with ERGM, a …
View article: Bayesian Shrinkage for Functional Network Models, With Applications to Longitudinal Item Response Data
Bayesian Shrinkage for Functional Network Models, With Applications to Longitudinal Item Response Data Open
Longitudinal item response data are common in social science, educational science, and psychology, among other disciplines. Studying the time-varying relationships between items is crucial for educational assessment or designing marketing …
View article: Quantile Regression with Multiple Proxy Variables
Quantile Regression with Multiple Proxy Variables Open
Data integration has become increasingly popular owing to the availability of multiple data sources. This study considered quantile regression estimation when a key covariate had multiple proxies across several datasets. In a unified estim…
View article: Differentially Private Synthesis and Sharing of Network Data via Bayesian Exponential Random Graph Models.
Differentially Private Synthesis and Sharing of Network Data via Bayesian Exponential Random Graph Models. Open
information significantly better than two other approaches in network structural statistics and inference for ERGMs and latent space models. Furthermore, DP-ERGM satisfies node DP through modeling the global network structure with ERGM, a …
View article: How social networks influence human behavior: An integrated latent space approach for differential social influence
How social networks influence human behavior: An integrated latent space approach for differential social influence Open
How social networks influence human behavior has been an interesting topic in applied research. Existing methods often utilized scale-level behavioral data to estimate the influence of a social network on human behavior. This study propose…
View article: How social network influences human behavior: An integrated latent space approach.
How social network influences human behavior: An integrated latent space approach. Open
How human behavior is influenced by a social network that they belong has been an interested topic in applied research. Existing methods often utilized scale-level behavioral data to estimate the influence of a social network on human beha…
View article: Bayesian model selection for high-dimensional Ising models, with applications to educational data
Bayesian model selection for high-dimensional Ising models, with applications to educational data Open
Doubly-intractable posterior distributions arise in many applications of statistics concerned with discrete and dependent data, including physics, spatial statistics, machine learning, the social sciences, and other fields. A specific exam…
View article: Network-based Topic Interaction Map for Big Data Mining of COVID-19 Biomedical Literature
Network-based Topic Interaction Map for Big Data Mining of COVID-19 Biomedical Literature Open
Since the emergence of the worldwide pandemic of COVID-19, relevant research has been published at a dazzling pace, which yields an abundant amount of big data in biomedical literature. Due to the high volum of relevant literature, it is p…
View article: Network-based Trajectory Topic Interaction Map for Text Mining of COVID-19 Biomedical Literature
Network-based Trajectory Topic Interaction Map for Text Mining of COVID-19 Biomedical Literature Open
Since the emergence of the worldwide pandemic of COVID-19, relevant research has been published at a dazzling pace, which makes it hard to follow the research in this area without dedicated efforts. It is practically impossible to implemen…
View article: Bayesian Shrinkage for Functional Network Models, with Applications to Longitudinal Item Response Data
Bayesian Shrinkage for Functional Network Models, with Applications to Longitudinal Item Response Data Open
Longitudinal item response data are common in social science, educational science, and psychology, among other disciplines. Studying the time-varying relationships between items is crucial for educational assessment or designing marketing …
View article: A Bayesian adaptive phase I/II clinical trial design with late‐onset competing risk outcomes
A Bayesian adaptive phase I/II clinical trial design with late‐onset competing risk outcomes Open
Early‐phase dose‐finding clinical trials are often subject to the issue of late‐onset outcomes. In phase I/II clinical trials, the issue becomes more intractable because toxicity and efficacy can be competing risk outcomes such that the oc…
View article: Differentially Private Generation of Social Networks via Exponential Random Graph Models
Differentially Private Generation of Social Networks via Exponential Random Graph Models Open
Many social networks contain sensitive relational information. One approach to protect the sensitive relational information while offering flexibility for social network research and analysis is to release synthetic social networks at a pr…
View article: Bayesian Shrinkage for Functional Network Models, with Applications to Longitudinal Item Response Data
Bayesian Shrinkage for Functional Network Models, with Applications to Longitudinal Item Response Data Open
Longitudinal item response data are common in social science, educational science, and psychology, among other disciplines. Studying the time-varying relationships between items is crucial for educational assessment or designing marketing …
View article: Applying the Network Item Response Model to Student Assessment Data
Applying the Network Item Response Model to Student Assessment Data Open
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 low dimensional Euclidean space. This procedure has advantage…
View article: Stochastic approximation Hamiltonian Monte Carlo
Stochastic approximation Hamiltonian Monte Carlo Open
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 in a multimodal posterior distribution because the HMC chai…
View article: Bayesian Model Selection for Ultrahigh-Dimensional Doubly-Intractable Distributions with an Application to Network Psychometrics
Bayesian Model Selection for Ultrahigh-Dimensional Doubly-Intractable Distributions with an Application to Network Psychometrics Open
Doubly intractable distributions commonly arise in many complex statistical models in physics, epidemiology, ecology, social science, among other disciplines. With an increasing number of model parameters, they often result in ultrahigh-di…
View article: Bayesian Model Selection for High-Dimensional Ising Models, With\n Applications to Educational Data
Bayesian Model Selection for High-Dimensional Ising Models, With\n Applications to Educational Data Open
Doubly-intractable posterior distributions arise in many applications of\nstatistics concerned with discrete and dependent data, including physics,\nspatial statistics, machine learning, the social sciences, and other fields. A\nspecific e…
View article: Network Mediation Analysis Using Model-based Eigenvalue Decomposition
Network Mediation Analysis Using Model-based Eigenvalue Decomposition Open
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 data with nodal covariates. In the decomposition stage of th…
View article: Multilevel Network Item Response Modeling for Discovering Differences Between Innovation and Regular School Systems in Korea
Multilevel Network Item Response Modeling for Discovering Differences Between Innovation and Regular School Systems in Korea Open
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 student-centered educational culture. Despite its ambitiou…
View article: Bayesian Hierarchical Spatial Model for Small Area Estimation with Non-ignorable Nonresponses and Its Applications to the NHANES Dental Caries Assessments
Bayesian Hierarchical Spatial Model for Small Area Estimation with Non-ignorable Nonresponses and Its Applications to the NHANES Dental Caries Assessments Open
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 of adults and children in the United States. The analysis o…