Research
This page highlights selected publications (focused on recent works) and recently submitted papers (under review & revision), focusing on topics we aim to expand, generalize, or further explore. 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.
Recent Selected Publications
2025
- Linear covariance selection model via ℓ1-penalizationComputational Statistics and Data Analysis, 2025
- spheresmooth: An R package for penalized piecewise geodesic curve fitting on a sphereR journal, 2025
- Dimensionality reduction in nultivariate nonparametric regression via nuclear norm penalizationStatistical Papers, 2025
- Calibrating a simulated exposure distribution using measurement error modelsJournal of Applied Statistics, 2025
- Comparison of cognitive and affective dimensions of multi-risk perception according to sociodemographic characteristics in a South Korean populationSage Open, 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
- Dynamics of COVID-19 risk perception and predictors in South Korea: a two-year longitudinal study from the pandemic’s beginning (2020-2021)Jouranl of Risk Research, 2024
- Effect of dimensionality on convergence rates of kernel ridge regression estimatorJournal of Statistical Planning and Inference, 2024
- An adaptive neural network regression method for structure identificationJournal of Computational and Graphical Statistics, 2024
2023
- Minimax density estimation under radial symmetryIEEE Access, 2023
- Minimax estimation in multi-task regression under low-rank structuresJournal of Nonparametric Statistics, 2023
- Intrinsic spherical smoothing method based on generalized Bezier curves and sparsity inducing penalizationJournal of Applied Statistics, 2023
Recently Submitted Papers (Under Review & Revision)
Last updated: February 16, 2025.
- Political party preference, accountability, and risk perception: Crowd crush in South Korea
Minimax optimality of kernel ridge regression when kernel eigenvalues decay polynomially or exponentially
Efficient curve fitting with penalized B-splines: methods and applications in oceanography and ecology
Adaptive log-wavelet density estimation with resolution identification
Super-precision change point detection using weighted total variation penalty
Low-dimension adaptive neural network regression with directional change detection via nuclear norm penalization