Seongil Jo

According to our database, Seongil Jo authored at least 11 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Accelerated Bayesian Kernel Machine Regression: A Gaussian Variational Approximation with the Horseshoe Prior.

Seongil Jo, Shinhee Ye, Georg Hahn, Woojoo Lee

Stat. Comput., April, 2026

2025

bspcov: An R Package for Bayesian sparse covariance matrix estimation.

Kyeongwon Lee, Kyoungjae Lee, Seongil Jo, Kwangmin Lee

SoftwareX, 2025

Identification of functional dynamic brain states based on graph attention networks.

Inyoung Baek, Jong Young Namgung, Yeongjun Park, Seongil Jo, Bo-yong Park

NeuroImage, 2025

2024

Prediction of Forest Fire Risk for Artillery Military Training using Weighted Support Vector Machine for Imbalanced Data.

Ji Hyun Nam, Jongmin Mun, Seongil Jo, Jaeoh Kim

J. Classif., March, 2024

2023

Curve Fitting Algorithm of Functional Radiation-Response Data Using Bayesian Hierarchical Gaussian Process Regression Model.

Kwang-Woo Jung, Jaeoh Kim, Ho-Jin Jung, Seung-Won Seo, Jiman Hong, Hyoung-Woo Bai, Seongil Jo

IEEE Access, 2023

2022

The beta-mixture shrinkage prior for sparse covariances with near-minimax posterior convergence rate.

Kyoungjae Lee, Seongil Jo, Jaeyong Lee

J. Multivar. Anal., 2022

Robust sparse Bayesian infinite factor models.

Jaejoon Lee, Seongil Jo, Jaeyong Lee

Comput. Stat., 2022

A variational inference for the Lévy adaptive regression with multiple kernels.

Young-Seon Lee, Seongil Jo, Jaeyong Lee

Comput. Stat., 2022

2018

Discussion on the paper by Peter Müller, Fernando A. Quintana, and Garritt L. Page.

Seongil Jo, Jaeyong Lee

Stat. Methods Appl., 2018

2016

Posterior convergence for Bayesian functional linear regression.

Heng Lian, Taeryon Choi, Jie Meng, Seongil Jo

J. Multivar. Anal., 2016

Bayesian factor analysis with uncertain functional constraints about factor loadings.

Hea-Jung Kim, Taeryon Choi, Seongil Jo

J. Multivar. Anal., 2016