Seongil Jo

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 8

Top Topics

Gaussian Process Regression

Imbalanced Data

Posterior Distribution

Top Venues

J. Multivar. Anal.

Stat. Methods Appl.

Publications

Ji Hyun Nam, Jongmin Mun, Seongil Jo, Jaeoh Kim
Prediction of Forest Fire Risk for Artillery Military Training using Weighted Support Vector Machine for Imbalanced Data. J. Classif. 41 (1) (2024)
Kwang-Woo Jung, Jaeoh Kim, Ho-Jin Jung, Seung-Won Seo, Jiman Hong, Hyoung-Woo Bai, Seongil Jo
Curve Fitting Algorithm of Functional Radiation-Response Data Using Bayesian Hierarchical Gaussian Process Regression Model. IEEE Access 11 (2023)
Young-Seon Lee, Seongil Jo, Jaeyong Lee
A variational inference for the Lévy adaptive regression with multiple kernels. Comput. Stat. 37 (5) (2022)
Jaejoon Lee, Seongil Jo, Jaeyong Lee
Robust sparse Bayesian infinite factor models. Comput. Stat. 37 (5) (2022)
Kyoungjae Lee, Seongil Jo, Jaeyong Lee
The beta-mixture shrinkage prior for sparse covariances with near-minimax posterior convergence rate. J. Multivar. Anal. 192 (2022)
Seongil Jo, Jaeyong Lee
Discussion on the paper by Peter Müller, Fernando A. Quintana, and Garritt L. Page. Stat. Methods Appl. 27 (2) (2018)
Heng Lian, Taeryon Choi, Jie Meng, Seongil Jo
Posterior convergence for Bayesian functional linear regression. J. Multivar. Anal. 150 (2016)
Hea-Jung Kim, Taeryon Choi, Seongil Jo
Bayesian factor analysis with uncertain functional constraints about factor loadings. J. Multivar. Anal. 144 (2016)