Research

A complete list of peer-reviewed publications and presentations at international conferences.

Publications

1. Lee, Y., & Jhong, J.-H. Nonparametric analysis of relationships among environmental impact categories using a national life cycle inventory database. Journal of the Korean Data & Information Science Society, 37(4), 735–749.
2. Lee, E.-J., Kim, S., Lee, H.-J., & Jhong, J.-H. Identifying policy-relevant traffic crash risk factors in Cheongju, South Korea using logistic regression and explainable machine learning. PLoS ONE, 21(6), e0350616.
3. Chun, H., & Jhong, J.-H. Asymptotic distribution of fiber intersection counts in two-dimensional random fiber webs. AIMS Mathematics, 11(5), 15008–15027.
4. Koo, D.-O., Jee, H.-J., & Jhong, J.-H. Detection of change-points and segmentation for loss ratio assumptions using penalized B-spline estimator with total variation penalty. Korean Insurance Journal, 146, 41–58. (in Korean)
5. Lee, D.-Y., Bak, K.-Y., & Jhong, J.-H. Adaptive weighted total variation penalty for precise change point detection. Australian & New Zealand Journal of Statistics, 68(2), e70053.
6. Lee, H.-J., Kim, S., Lee, E.-J., & Jhong, J.-H. A study on graph trend filtering with weighted penalty for traffic accident analysis in Cheongju city. Communications for Statistical Applications and Methods, 33(2), 171–185.
7. Lee, S., Jhong, J.-H., & Bak, K.-Y. Adaptive smoothing of spherical trajectories via penalized piecewise geodesic curves: a Python software. SoftwareX, 34, 102631.
8. Lee, E.-J., Lee, J. H., Jee, H.-J., & Jhong, J.-H. Functional data analysis of particulate matter (PM10) in Chungbuk, Korea: An application of penalized B-spline smoothing and functional inference. Axioms, 15(3), 170.
9. Bak, K.-Y., Lee, E.-J., & Jhong, J.-H. Adaptive log-wavelet density estimation with resolution identification. Journal of the Korean Statistical Society, 55, 125–149.

1. Lee, E.-J., Park, J.-B., Lee, D.-Y., & Jhong, J.-H. Comparison of algorithms for estimating regression splines using lasso penalty. Communications for Statistical Applications and Methods, 32(1), 21–46.
2. Lee, E.-J., Jo, N., Heo, T.-Y., Kim, Y.-Y., Kwon, E., Kang, M. G., & Jhong, J.-H. Assessing the impact of air pollution on lung function in South Korea using Bayesian kernel machine regression. Scientific Reports, 15(1), 32138.
3. Kim, Y., Jhong, J.-H., Koo, J.-Y., & Bak, K.-Y. Low-dimensional adaptive neural network regression with directional change detection via nuclear norm penalization. Statistical Analysis and Data Mining: An ASA Data Science Journal, 18(4), e70035.
4. Jhong, J.-H., Lee, S., Koo, J.-Y., & Bak, K.-Y. spheresmooth: An R package for penalized piecewise geodesic curve fitting on a sphere. R Journal, 17(1).
5. Jhong, J.-H., Kim, G., & Bak, K.-Y. Multi-task nonparametric regression under joint sparsity. IEEE Access, 13, 25115–25126.
6. Bak, K.-Y., Lee, D.-Y., Lee, J.-S., Jee, H.-J., Park, R. J., Koo, J.-Y., & Jhong, J.-H. Efficient curve fitting with penalized B-splines for oceanographic and ecological applications. Scientific Reports, 15(1), 21958.

1. Lee, E.-J., & Jhong, J.-H. Ridge regression splines with knot selection via ℓ₀ penalty. Journal of the Korean Data & Information Science Society, 35(6), 889–904.
2. Jhong, J.-H., Kim, J.-Y., Lee, J.-D., & Koo, J.-Y. Locally penalized single-index model using B-splines and spherical coordinates. Communications in Statistics — Simulation and Computation, 53(1), 273–287.

1. Her, M., & Jhong, J.-H. Interpretation of a change point detection problem via adaptive lasso penalty and its application. Journal of the Korean Data & Information Science Society, 34(6), 1013–1030.

1. Lee, E.-J., & Jhong, J.-H. Mixed degree regression function estimation using weighted lasso penalty. Journal of the Korean Data & Information Science Society, 33(3), 517–531.
2. Lee, E.-J., Byambaa, A., & Jhong, J.-H. A data analysis of natural gas prices using penalized median regression splines. Journal of the Korean Data & Information Science Society, 33(6), 1125–1140.
3. Jhong, J.-H., Bak, K.-Y., & Koo, J.-Y. Penalized polygram regression. Journal of the Korean Statistical Society, 51(4), 1161–1192.

1. Shin, J.-K., Jhong, J.-H., & Koo, J.-Y. Stable activation-based regression with localizing property. Communications for Statistical Applications and Methods, 28(3), 281–294.
2. Oh, J.-K., & Jhong, J.-H. Pliable regression spline estimator using auxiliary variables. Communications for Statistical Applications and Methods, 28(5), 535–549.
3. Lee, E., & Jhong, J.-H. Change point detection using penalized multi-degree splines. Axioms, 10(4), 331.
4. Jhong, J.-H., Bak, K.-Y., Shin, J.-K., & Koo, J.-Y. Additive regression splines with total variation and non-negative garrote penalties. Communications in Statistics — Theory and Methods, 51(22), 7713–7736.
5. Choi, J., Lee, J., Jhong, J.-H., & Koo, J.-Y. Penalized I-spline monotone regression estimation. Communications in Statistics — Simulation and Computation, 50(11), 3714–3732.
6. Bak, K.-Y., Jhong, J.-H., Lee, J., Shin, J.-K., & Koo, J.-Y. Penalized logspline density estimation using total variation penalty. Computational Statistics & Data Analysis, 153, 107060.

1. Lee, J., Jhong, J.-H., Cho, Y.-R., Kim, S., & Koo, J.-Y. Penalized log-density estimation using Legendre polynomials. Communications in Statistics — Simulation and Computation, 49(11), 2844–2860.

1. Jhong, J.-H., & Koo, J.-Y. Simultaneous estimation of quantile regression functions using B-splines and total variation penalty. Computational Statistics & Data Analysis, 133, 228–244.
2. Bak, K.-Y., Jhong, J.-H., & Koo, J.-Y. Spatially adaptive binary classifier using B-splines and total variation penalty. Journal of Nonparametric Statistics, 31(4), 887–910.

1. Lee, J., Kim, S., Jhong, J.-H., & Koo, J.-Y. Variable selection and joint estimation of mean and covariance models with an application to eQTL data. Computational and Mathematical Methods in Medicine, 2018, 4626307.

1. Kim, S., Jhong, J.-H., Lee, J., Koo, J.-Y., Lee, B., & Han, S. Node-structured integrative Gaussian graphical model guided by pathway information. Computational and Mathematical Methods in Medicine, 2017, 8520480.
2. Kim, S., Jhong, J.-H., Lee, J., & Koo, J.-Y. Meta-analytic support vector machine for integrating multiple omics data. BioData Mining, 10, 2.
3. Jhong, J.-H., Lee, J., Kim, S., & Koo, J.-Y. Joint modeling for mean vector and covariance estimation with ℓ₁-penalty. Quantitative Bio-Science, 36(1), 33–38.
4. Jhong, J.-H., Koo, J.-Y., & Lee, S.-W. Penalized B-spline estimator for regression functions using total variation penalty. Journal of Statistical Planning and Inference, 184, 77–93.

Invited & Contributed Talks

• 2025
  Comparison of algorithms for estimating regression splines using lasso penalty.

  Pacific Symposium on Biocomputing.
• 2021
  Penalized polygram regression for bivariate smoothing.

  Bernoulli-IMS 10th World Congress in Probability and Statistics.
• 2019
  Penalized polygram regression.

  The Korean Statistical Society.
• 2018
  Locally penalized single-index model using B-splines and spherical coordinates.

  The Korean Statistical Society.
• 2018
  Simultaneous estimation of quantile regression functions using B-splines and total variation penalty.

  Hokkaido University & Korea University 5th Workshop in Statistics.
• 2017
  Weighted quantile regression splines using total variation regularization.

  Joint Statistical Meeting.
• 2016
  Penalized B-spline estimator for regression functions using total variation penalty.

  The Korean Statistical Society.
• 2016
  Penalized B-spline estimator for regression functions using total variation penalty.

  Hokkaido University & Korea University 4th Workshop in Statistics.
• 2014
  Penalized Spherical Density Estimation.

  Mathematical Statistics Asia Pacific Rim Meeting (IMS-APRM).