Research
This page highlights selected publications and recently submitted papers (under review & revision). The purpose of sharing this list is primarily to foster collaboration and communication. The complete list of all papers and projects is always available upon request.
Selected Publications
2025
- Low-dimensional adaptive neural network regression with directional change detection via nuclear norm penalizationStatistical Analysis and Data Mining, 2025
- Linear covariance selection model via ℓ1 penalizationComputational Statistics and Data Analysis, 2025
- spheresmooth: a penalized piecewie geodeisc curve fitting on a sphereR journal, 2025
- Analysis of US airport network and KOSPI volatility based on covariance regression modeling methodCommunications for Statistical Applications and Methods, 2025
- Calibrating a simulated exposure distribution using measurement error modelsJournal of Applied Statistics, 2025
- Efficient curve fitting with penalized B-splines for oceanographic and ecological applicationsScientific Reports, 2025
- Effect of dimensionality on convergence rates of kernel ridge regression estimatorJournal of Statistical Planning and Inference, 2025
- Dimensionality reduction in multivariate nonparametric regression via nuclear norm penalizationStatistical Papers, 2025
- Comparison of cognitive and affective dimensions of multi-risk perception according to sociodemographic characteristics in a South Korean populationSage Open, 2025
- Establishing a Panel Dataset for the Survey on the Effects of Minimum Wage Implementation (Research Report)Ministry of Employment and Labor (GPRN: 11-1492865-100001-01), 2025
- Multi-task nonparametric regression under joint sparsityIEEE Access, 2025
- ALTBI: constructing improved outlier detection models via optimization of inlier-memorization effectThe 39th Annual AAAI Conferenec on Artificial Intelligence, 2025
2024
- An adaptive neural network regression method for structure identificationJournal of Computational and Graphical Statistics, 2024
- Dynamics of COVID-19 risk perception and predictors in South Korea: a two-year longitudinal study from the pandemic’s beginning (2020-2021)Journal of Risk Research, 2024
- Nonparametric logistic regression based on sparse triangulation over a compact domainCommunications for Statistical Applications and Methods, 2024
- The regularization paths of total variation-penalized regression splinesCommunications in Statistics - Simulation and Computation, 2024
2023
- Minimax estimation in multi-task regression under low-rank structuresJournal of Nonparametric Statistics, 2023
- Minimax density estimation under radial symmetryIEEE Access, 2023
- Intrinsic spherical smoothing method based on generalized Bezier curves and sparsity inducing penalizationJournal of Applied Statistics, 2023
2022
- Sparse neural network regression with variable selectionComputational Intelligence, 2022
- Penalized additvie neural network regressionIntelligent Data Analysis, 2022
- Additive regression splines with total variation and non-negative garrote penaltiesCommunications in Statistics - Theory and Methods, 2022
- Penalized polygram regressionJournal of the Korean Statistical Society, 2022
- Linear Methodology (Book)Freedom Academy (ISBN: 9791158083762), 2022
2021
- Penalized logspline density estimation using total variation penaltyComputational Statistics and Data Analysis, 2021
- Nonparametric matrix regression function estimation over symmetric positive definite matricesJournal of the Korean Statistical Society, 2021
2020
- Adaptive log-density estimationJournal of the Korean Statistical Society, 2020
- Functional logistic regression based on constant splines for wafer classificationJournal of The Korean Data Analysis Society, 2020
2019
- Spatially adaptive binary classifier using B-splines and total variation penaltyJournal of Nonparametric Statistics, 2019
Recently Submitted Works
Last updated: June 1, 2025.
- R Programming with Workflow Design (Book)
Political party preference, accountability, and risk perception: Crowd crush in South Korea
On theoretical properties of a group-wise additive regression in reproducing kernel Hilbert space
Role of government and information trust in the public perception of environmental risk: a case study of the treated contaminated water discharge in fukushima
Minimax optimality of kernel ridge regression when kernel eigenvalues decay polynomially or exponentially
Adaptive log-wavelet density estimation with resolution identification
Super-precision change point detection using weighted total variation penalty