The latent space model is one of the well-known methods for statistical
...
Item response theory (IRT) is a widely used approach to measure test tak...
Conventional social network analysis typically focuses on analyzing the
...
Many phase II clinical trials have used survival outcomes as the primary...
Data integration has become more challenging with the emerging availabil...
How human behavior is influenced by a social network that they belong ha...
Since the emergence of the worldwide pandemic of COVID-19, relevant rese...
We propose a novel network approach to item response data with advantage...
Longitudinal network models are widely used to study the time-varying
re...
This study discusses an alternative tool for modeling student assessment...
Doubly intractable distributions commonly arise in many complex statisti...
This paper proposes a new two-stage network mediation method based on th...
The innovation school system has been implemented in Korea to cultivate ...
In order to identify the demographic or dental hygienic factors that rel...
Recently, the Hamilton Monte Carlo (HMC) has become widespread as one of...
Social networks contain data on both actor attributes and social connect...