A detailed academic background and complete list of works are available in my [CV].
A detailed academic background and complete list of works are available in my [CV].
My research focuses on developing and applying flexible non-parametric and semi-parametric regression techniques, computational statistics, and measurement error modeling to solve complex real-world data problems.
Sub-areas:
Gaussian Graphical Model: Network estimation for correlated data, including microarray gene expression data and social behavior data
Non-parametric & Semi-parametric Regression: Generalized Additive Models (GAMs), regression splines, and smoothing techniques
High-Dimensional Data & Regularization: LASSO, Ridge Regression, Kernel Regularized Least Squares (KRLS), Partial Least Squares (PLS)
Measurement Error Modeling: Covariate measurement error in longitudinal and observational data, SIMEX methodology
Computational Statistics & Statistical Computing: Interactive data visualization, R Shiny applications, simulation studies
Subedi, M., Cao, X., Kim, B. J., & Sha, Q. (2025). Network Construction Using Sparse Gaussian Graphical Model Based on GWAS Summary Statistics. Scientific Reports, 15(38601).
Kim, B. J., & Kim, I. (2023). Joint Semiparametric Kernel Machine Network Regression. Statistics in Medicine, 42(28), 5247–5265.
Kim, B. J., & Kim, I. (2020). Flexible Omnibus Test in 1:M Matched Case-Crossover Study with Measurement Error in Covariate. Statistical Methods in Medical Research, 29(10), 3019–3031.
Kim, S., & Kim, B. J. (2020). Crash Risk-Based Prioritization of Basic Safety Message in DSRC. IEEE Access, 8, 211961–211972.
Hester, E. S., McEwen, A. M., Kim, B. J., & Rost, E. A. (2020). Abundance, Distribution, and Geometry of Naturally Occurring Streambank Soil Pipes. Freshwater Science, 39(4).
Kim, I., Shan, L., Lin, J., Gao, W., Kim, B. J., & Mahmoud, H. F. F. (2019). Multiple and Multilevel Graphical Models. WIREs Computational Statistics, e1497.
Mahmoud, H. F. F., Kim, B. J., & Kim, I. (2019). Robust Nonparametric Derivative Estimator. Communications in Statistics - Simulation and Computation.
Kim, B. J., & Lee, J. (2015). Adjustment of Control Limits for Geometric Charts. Communications for Statistical Applications and Methods, 22(5), 519–530.
Kim, S., & Kim, B. J. (2022). Study on Optimal Deployment of Unmanned Food Trucks for K-Food Delivery. The Institute of Electronics and Information Engineers (IEIE 2022-Summer), 2430–2435.
Kim, S., & Kim, B. J. (2022). On the Byzantine-Fault-Tolerant Consensus in Blockchain Built on Internet of Vehicles. IEEE International Conference on Electronics, Information, and Communication (ICEIC 2022-Spring). (Best Paper Award)
Kim, S., Kim, B. J., & Park, B. B. (2021). Environment-Adaptive Multiple Access for Distributed V2X Network: A Reinforcement Learning Framework. IEEE 93rd Vehicular Technology Conference (VTC 2021-Spring), 1–7.
Kim, S., & Kim, B. J. (2020). Reinforcement Learning for Accident Risk-Adaptive V2X Networking. IEEE Connected and Automated Vehicles Conference (VTC 2020-Fall), 1–7.
Kim, B. J., & Lu, R. (2026). Joint Models for Varying Coefficients for Longitudinal Studies.
Kim, B. J., Kim, T. W., & Klasner, I. (2026). The Impact of Measurement Error on Partial-Least Squares Regression.
Invited Talks
Mathematical Sciences and Data Sciences Colloquium, Sungshin Women's University, Seoul, Korea (Dec. 2024)
The 9th Research Center for Data Science (RCDS) International Conference, Chung-Ang University, Seoul, Korea (Jun. 2022)
The Korean Statistical Society (KSS) Summer Conference 2022, Seoul National University, Seoul, Korea (Jun. 2022)
Joint Department of Math and Center for Applied Mathematics and Statistics (CAMS) Colloquium, Michigan Tech, Houghton, MI (Mar. 2022)
Selected Conference Presentations
International Biometric Conference (IBC 2022), Riga, Latvia (Jul. 2022)
Joint Semiparametric Kernel Machine Network Regression
5th International Conference on Econometrics and Statistics (EcoSta 2022), Kyoto, Japan (Jun. 2022)
Joint Semiparametric Kernel Machine Network Regression
ENAR Spring Meeting, Houston, TX (Mar. 2022)
Joint Semiparametric Kernel Machine Network Regression
ENAR Spring Meeting (Virtual) (Mar. 2021)
Bayesian Focal-area Detection for Multi-class Dynamic Model with Application to Gas Chromatography
ENAR Spring Meeting, Philadelphia, PA (Mar. 2019)
Flexible Omnibus Test in 1-M Matched Case-Crossover Study with Measurement Error in Covariate (Distinguished Student Paper Award)
Joint Statistical Meetings (JSM 2018), Vancouver, BC, Canada (Jul. 2018)
Semiparametric-Sparse Network Kernel Method for Genetic Pathway Analysis
Joint Statistical Meetings (JSM 2017), Baltimore, MD (Jul. 2017)
Omnibus Test in Matched Case-Control Studies