Seongil Jo

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerated Bayesian Kernel Machine Regression: A Gaussian Variational Approximation with the Horseshoe Prior.
Stat. Comput.
Seongil Jo, Shinhee Ye, Georg Hahn, Woojoo Lee
2025 J jnl
Identification of functional dynamic brain states based on graph attention networks.
NeuroImage
Inyoung Baek, Jong Young Namgung, Yeongjun Park, Seongil Jo, Bo-yong Park
2025 J jnl
bspcov: An R Package for Bayesian sparse covariance matrix estimation.
SoftwareX
Kyeongwon Lee, Kyoungjae Lee, Seongil Jo, Kwangmin Lee
2024 J jnl
Prediction of Forest Fire Risk for Artillery Military Training using Weighted Support Vector Machine for Imbalanced Data.
J. Classif.
Ji Hyun Nam, Jongmin Mun, Seongil Jo, Jaeoh Kim
2023 J jnl
Curve Fitting Algorithm of Functional Radiation-Response Data Using Bayesian Hierarchical Gaussian Process Regression Model.
IEEE Access
Kwang-Woo Jung, Jaeoh Kim, Ho-Jin Jung, Seung-Won Seo, Jiman Hong, Hyoung-Woo Bai, Seongil Jo
2022 J jnl
A variational inference for the Lévy adaptive regression with multiple kernels.
Comput. Stat.
Young-Seon Lee, Seongil Jo, Jaeyong Lee
2022 J jnl
Robust sparse Bayesian infinite factor models.
Comput. Stat.
Jaejoon Lee, Seongil Jo, Jaeyong Lee
2022 J jnl
The beta-mixture shrinkage prior for sparse covariances with near-minimax posterior convergence rate.
J. Multivar. Anal.
Kyoungjae Lee, Seongil Jo, Jaeyong Lee
2018 J jnl
Discussion on the paper by Peter Müller, Fernando A. Quintana, and Garritt L. Page.
Stat. Methods Appl.
Seongil Jo, Jaeyong Lee
2016 J jnl
Bayesian factor analysis with uncertain functional constraints about factor loadings.
J. Multivar. Anal.
Hea-Jung Kim, Taeryon Choi, Seongil Jo
2016 J jnl
Posterior convergence for Bayesian functional linear regression.
J. Multivar. Anal.
Heng Lian, Taeryon Choi, Jie Meng, Seongil Jo