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

  1. Linear covariance selection model via ℓ1-penalization
    Kwan-Young Bak, and Seongoh Park
    Computational Statistics and Data Analysis, 2025
  2. spheresmooth: An R package for penalized piecewise geodesic curve fitting on a sphere
    Jae-Hwan Jhong, Seyoung Lee, Ja-Yong Koo, and 1 more author
    R journal, 2025
  3. Dimensionality reduction in nultivariate nonparametric regression via nuclear norm penalization
    Donghwi Nam, Ja-Yong Koo, and Kwan-Young Bak
    Statistical Papers, 2025
  4. Calibrating a simulated exposure distribution using measurement error models
    Jiwoong Yu, Xueyan Zheng, Kwan-Young Bak, and 2 more authors
    Journal of Applied Statistics, 2025
  5. Comparison of cognitive and affective dimensions of multi-risk perception according to sociodemographic characteristics in a South Korean population
    Ryemi Do, Kwan-Young Bak, Seung Yeon Lee, and 5 more authors
    Sage Open, 2025
  6. Multi-task nonparametric regression under joint sparsity
    Jae-Hwan Jhong, Gyeongmin Kim, and Kwan-Young Bak
    IEEE Access, 2025
  7. ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect
    Seoyoung Cho, Jaesung Hwang, Kwan-Young Bak, and 1 more author
    The 39th Annual AAAI Conferenec on Artificial Intelligence, 2025

2024

  1. Dynamics of COVID-19 risk perception and predictors in South Korea: a two-year longitudinal study from the pandemic’s beginning (2020-2021)
    Minjung Lee, Seongoh Park, Sujin Seo, and 5 more authors
    Jouranl of Risk Research, 2024
  2. Effect of dimensionality on convergence rates of kernel ridge regression estimator
    Kwan-Young Bak, and Woojoo Lee
    Journal of Statistical Planning and Inference, 2024
  3. An adaptive neural network regression method for structure identification
    Jae-Kyung Shin, Kwan-Young Bak, and Ja-Yong Koo
    Journal of Computational and Graphical Statistics, 2024

2023

  1. Minimax density estimation under radial symmetry
    Kwan-Young Bak, and Ja-Yong Koo
    IEEE Access, 2023
  2. Minimax estimation in multi-task regression under low-rank structures
    Kwan-Young Bak, and Ja-Yong Koo
    Journal of Nonparametric Statistics, 2023
  3. Intrinsic spherical smoothing method based on generalized Bezier curves and sparsity inducing penalization
    Kwan-Young Bak, Jae-Kyung Shin, and Ja-Yong Koo
    Journal of Applied Statistics, 2023

Recently Submitted Papers (Under Review & Revision)

Last updated: February 16, 2025.


  1. Political party preference, accountability, and risk perception: Crowd crush in South Korea
    Yookyung Eoh, Kwan-Young Bak, Seoyeon Kim, and 3 more authors

    Minimax optimality of kernel ridge regression when kernel eigenvalues decay polynomially or exponentially
    Kwan-Young Bak, Woojoo Lee

    Efficient curve fitting with penalized B-splines: methods and applications in oceanography and ecology
    Kwan-Young Bak, Dong-Young Lee, Ju-Seong Lee, Jae-Hwan Jhong

    Adaptive log-wavelet density estimation with resolution identification
    Kwan-Young Bak, Eun-Ji Lee, Jae-Hwan Jhong

    Super-precision change point detection using weighted total variation penalty
    Kwan-Young Bak, Eun-Ji Lee, Jae-Hwan Jhong

    Low-dimension adaptive neural network regression with directional change detection via nuclear norm penalization
    Yongku Kim, Jae-Hwan Jhong, Ja-Yong Koo, Kwan-Young Bak