Seongil Jo

According to our database, Seongil Jo authored at least 8 papers between 2016 and 2024.

Collaborative distances:

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

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