4 papers
A Bayesian Distance-Weighted Ising Model for Task-Related Regional Analysis of Neuroimaging Data
Heesang Lee, Jongrak Park, Seoyoung Choi +4
Neuroimaging analysis commonly involves classifying cognitive conditions, identifying task-relevant brain regions, and examining functional connectivity. These objectives are typic…
A Delayed Acceptance Auxiliary Variable MCMC for Spatial Models with Intractable Likelihood Function
Jong Hyeon Lee, Jongmin Kim, Heesang Lee +1
A large class of spatial models contains intractable normalizing functions, such as spatial lattice models, interaction spatial point processes, and social network models. Bayesian…
A Stein Gradient Descent Approach for Doubly Intractable Distributions
Heesang Lee, Songhee Kim, Bokgyeong Kang +1
Bayesian inference for doubly intractable distributions is challenging because they include intractable terms, which are functions of parameters of interest. Although several alter…
Bayesian Function-on-Function Regression for Spatial Functional Data
Heesang Lee, Dagun Oh, Sunhwa Choi +1
Spatial functional data arise in many settings, such as particulate matter curves observed at monitoring stations and age population curves at each areal unit. Most existing functi…