Research
Publications
See here
Conference Talks
Korean Statistical Society
A Model Averaging Prediction of Two-Way Functional Data in Semiconductor Manufacturing (Youngwook Kwon, in 2023 Winter)
Combined Quantile Forecasting for High-Dimensional Non-Gaussian Data (Seeun Park, in 2023 Winter)
Novel Sampling Method for the von Mises--Fisher Distribution (Seungwoo Kang, in 2023 Summer)
Absolute average and median treatment effects as causal estimands on metric spaces (Kyusoon Kim, in 2023 Summer)
Spherical Random Projection (Seungwoo Kang, in 2022 Winter)
Principal Component Analysis for River Network Data: Use of Spatio-temporal Correlation and Heterogeneous Covariance Structure (Kyusoon Kim, in 2022 Summer)
Spherical Principal Curves (Jongmin Lee, in 2019 Fall)
Recommendation System using Multidimensional Scaling (Young Oh Seo, in 2018 Fall)
Multiresolution Analysis for Spatio-Temporal Data (Seoncheol Park, in 2017 Fall)
International Talks
Combined Quantile Forecasting for High-Dimensional Non-Gaussian Data (Seeun Park, in APRM 2024)
Quantiles on global non-positive curvature spaces (Ha-young Shin, in APRM 2024)
Network Time Series Forecasting using Spectral Graph Wavelet Transform (Kyusoon Kim, in JSM 2023)
Spherical Random Projection (Seungwoo Kang, in the 64th ISI World Statistics Congress)
EVA 2023 Data Challenge (Ha-Young Shing, in EVA 2023)
Probabilistic Principal Curves on Riemannian Manifolds (Seungwoo Kang, in the 24th International Conference on Computational Statistics )
Robust spherical principal curves (Jongmin Lee, in IMS 2022)
Principal Component Analysis for River Network Data: Use of Spatio-temporal Correlation and Heterogeneous Covariance Structure (Kyusoon Kim, in DSSV 2022)
Spherical Random Projection (Seungwoo Kang, in IASC-ARS 2022)
Robust Geodesic Regression (Ha-Young Shin, in WC2020)
Probabilistic Principal Curves on Riemannian Manifolds (Seungwoo Kang, in WC2020)
Spherical principal curves (Jongmin Lee, in WC2020)
Change Point Detection under Linear Model: Use of MOSUM Approach (Joonpyo Kim, in WC2020)
Heavy-snow Transform: A New Multiscale Method for Time Series (Guebin Choi, in APRM2018)
Multiresolution Analysis for Spatio-Temporal Data (Seoncheol Park, in APRM2018)
Frequency-domain Principal Component Analysis with Missing Values (Junhyeon Kwon, in APRM2018)
Expectile Functional Data Clustering (Joonpyo Kim, in APRM2018)
Elastic-Band Transform: A New Approach to Multiscale Visualization (Guebin Choi, in ORSNZ2017)
Prediction of Extremal Precipitation by Quantile Regression Forests (Seoncheol Park, in EVA2017)
Seasonal Precipitation Prediction via Data-adaptive Principal Component Regression (Joonpyo Kim, ICSA2016)