+ student; * corresponding author; ** co-first author
Salem+, M. and Kim*, I. (2025), Bayesian Multilevel Network Recovery Selection, Journal of Computational and Graphical Statistics, to appear.
Chen+, M. and Kim*, I. (2025), Detection of Unknown Functional Departure in Generalized Functional Regression, Statistical Analysis and Data Mining: The ASA Data Science Journal, to appear.
Kim+, T., Kim*, I, and Lee, K. (2024), Weighted Conditional Network Testing for Multiple High-Dimensional Correlated Data Sets, Statistica Sinica, to appear. Statistica Sinica Highlighted Paper by the Statistica Sinica Editorial Board
Sun+, P, Kim*, I. and Lee, K (2024), Probabilistic weighted Dirichlet process mixture with an application to stochastic volatility model. The Canadian Journal of Statistics, to appear
Lin+, J. and Kim*, I. (2024), Gaussian Process Selections in Semiparametric Multi-Kernel Machine Regression for Multi-Pathway Analysis, Statistical Analysis and Data Mining: The ASA Data Science Journal, to appear.
Gao+, W, Kim*, I, Nam, W., Ren, X., Zhou, W., and Agah, M. (2023), Nonparametric Bayesian Functional Clustering with Applications to Racial Disparities in Breast Cancer, Statistical Analysis and Data Mining: The ASA Data Science Journal, to appear.
AlBahar+, A., Kim, I., Lutz, O.T., Wang, X., and Yue, X. (2023), Stress-Aware Optimal Placement of Actuators for High Precision Quality Management in Composite Aircraft Assembly, IEEE Transactions on Automation Science and Engineering, to appear.
Kim+, BJ and Kim*, I (2023). Joint Semiparametric Kernel Network Regression. Statistics In Medicine, to appear.
Kim, I., Kim, T., Lee, K, and Yoon, J. (2022), New approach and analysis of the generalized constant elasticity of variance model. Applied Stochastic Models in Business and Industry, to appear.
Gao+, W., Kim*, I., and Park, ES (2022), Nonparametric Bayesian functional selection in 1-M matched case-crossover studies, Statistical Methods in Medical Research, to appear.
AlBahar+, A., Kim, I., Yue, X. (2022), Physics-Constrained Bayesian Optimization for Optimal Actuators Placement in Composite Structures Assembly, IEEE Transactions on Automation Science and Engineering, to appear.
Hwangbo, S., Lee, S, Lee, S, Hwang, H., Kim, I, and Park, T. (2022), Kernel-based hierarchical structural component models for pathway analysis, Bioinformatics, 38, 3078-3086.
Lin+, J. and Kim*, I. (2022), Bayesian multiple Gaussian graphical models for multilevel variables from unknown classes. Statistical Methods in Medical Research, to appear.
AlBahar+, A., Kim, I., Yue, X. (2021), A Robust Asymmetric Kernel Function for Bayesian Optimization, with Application to image Detection in Manufacturing Systems, IEEE Transactions on Automation Science and Engineering, to appear.
Zhang+, L. and Kim*, I. (2021), Finite mixtures of semiparametric Bayesian survival kernel machine regression: Application to breast cancer gene pathway subgroup analysis. Journal of the Royal Statistical Society: Series C, 70, 251-269.
Sun+, P, Kim*, I. and Lee, K (2020), Flexible weighted Dirichlet process mixture modelling and evaluation to address the problem of forecasting return distribution. Journal of Nonparametric Statistics, 32, 989-1014
Ortega-Villa+, A. and Kim*, I. (2020), Flexible derivative time-varying model in matched case-crossover studies for a small number of geographical locations among the participants. Statistical Methods in Medical Research, 30, 563-579.
Kim*, I, Shan+, L, Lin+, J, Gao+, W, Kim+, BJ, and Mahmoud+, H (2020), Multiple and multilevel graphical models. Wiley Interdisciplinary Reviews: Computational Statistics, 12, e1497.
I. Lobach, I. Kim, A. Alekseyenko, S. Lobach, and L Zhang (2019), A simple approximation to bias in gene-environment interaction estimates when a case might not be the case. Frontiers in Genetics, 43, 522-531.
L. Shan+, L. Cheng+, and I. Kim* (2020), Joint estimation of the two-level Gaussian graphical models across multiple classes. Journal of Computational and Graphical Statistics, 29, 562-579.
Li+, Q, Guo, F, and Kim, I. (2020), A non-parametric Bayesian change-point method for recurrent events, Journal of Statistical Computation and Simulation, 90, 2929-2948.
Kim+, BJ and Kim*, I (2019), Flexible omnibus test in 1:M matched case-crossover study with measurement error in covariates. Statistical Methods in Medical Research, 29, 3019-3031. ENAR Distinguished Student Paper Award
N. Johnson+ and I. Kim* (2019), Semiparametric approaches for matched case-control studies with error-in-covariates. Computational Statistics, 34, 1675-1692.
I. Lobach, I. Kim, A. Alekseyenko, S. Lobach, and L Zhang (2019), A simple approximation to bias in the genetic effect estimates when multiple disease states share a clinical diagnosis. Genetic Epidemiology, 43, 522-531.
Y. Xu+, I. Kim*, and R. J. Carroll (2019), A hybrid omnibus test for generalized semiparametric single-index models with high dimensional covariate sets. Biometrics, 75, 757-767.
H. Mahmound+ and I. Kim* (2019), Semiparametric Spatial Mixed Effects Single Index Models. Computational Statistics and Data Analysis, 136, 108-122.
L. Zhang+ and I. Kim*(2018), Semiparametric Bayesian Kernel Machine Survival model for Evaluating Pathway effects. Statistical Methods in Medical Research, 28, 3301-3317.
J. Chen+, G. Terrell, I. Kim*, M. Deviglus (2018). Proportional Odds Model with Log-concave Density Estimation. Statistica Sinica, 30, 877-901.
Li+, Q, Guo, F., Kim, I., Klauer, SG, and Simons-Morton, BG, (2018). A Bayesian finite mixture change-point model for assessing the risk of novice teenage drivers, Journal of Applied Statistics, 45, 604-625.
L. Shan+, and I. Kim* (2017). Joint Estimation of Multiple Gaussian Graphical Models across Unbalanced Classes. Computational Statistics and Data Analysis, 121, 89-103.
Z. Fang+, I. Kim*, and J Jung (2017). Semiparametric Kernel-based regression for Evaluating interaction between Pathway effect and covariate. Journal of Agricultural, Biological, and Environmental Statistics, 23, 129-152.
F. Guo**, I. Kim**, S. Klauer (2017). Semiparametric Bayesian models for evaluating time-variant driving risk factors using naturalistic driving data and case-crossover approach. Statistics in Medicine, 30, 160-174.
P. Sun+, I. Kim* (2017). Dual-Semiparametric Regression using Weighted Dirichlet Process Mixture, Computational Statistics and Data Analysis, 30, 160-174.
L. Cheng+, L. Shan+, and I. Kim* (2017). Multilevel Gaussian Graphical Model, Journal of Statistical Planning and Inference, 190, 1-14.
E. Park, I. Kim, S. Tan, and C. Spiegelman (2017). Bayesian spatial multivariate receptor modeling for multi-site multi-pollutant data. Technometrics, 60, 306-318.
Q. Li, F. Guo, I. Kim, and S. Klauer C. (2017). A Bayesian finite mixture change point model for assessing the risk of novice teenage drivers. Journal of Applied Statistics, 45, 604-625.
A. Ortega Villa+ and I. Kim* (2016). Semiparametric time varying coefficient model for matched case-crossover studies. Statistics in Medicine, 36, 998-1013.
H. Mahmound+, I. Kim*, and H. Kim (2016). Semiparametric Single Index Multi Change points Model. Environmetrics, 27, 494-506.
L. Cheng+, I. Kim*, and H. Pang (2016). Bayesian Semiparametric Regression for Pahtway Based Analysis with Zero-Inflated Clinical Outcomes. Journal of Agricultural, Biological, and Environmental Statistics, 21, 641-662.
Z. Fang+, I. Kim* (2016). Flexible variable selection for recovering the sparsity in nonadditive multivariate nonparametric model. Biometrics, 72, 1155-1163. Best Biometrics Paper Award of the Year
N. Johnson+ and I. Kim* (2016). Generalized linear model with measurement error and unknown link function, Journal of Applied Statistics, 44, 833-852.
Z. Fang+ and I. Kim* (2015). Bayesian Ising Graphical Model for Variable Selection. Journal of Computational and Graphical Statistics, 25, 589-605.
C. Park and I. Kim* (2015). Efficient Resolution and Basis Selection in Wavelet Regression. Computational Statistics, 30, 957-986.
H. Zhang+, Y. Wu, L. Cheng, and I. Kim (2015). Hit and Run ARMS: adaptive rejection metropolis sampling with Hit and Run Random Direction. Journal of Statistical Computation and Simulation, 86, 973-985.
H. Zhang+, I. Kim*, and C. Park (2014). Semiparametric Bayesian Hierarchical Models for Heterogeneous Population in Nonlinear Mixed Effects Model: Application to Gastric Emptying Studies. Journal of Applied Statistics, 41,2743-2760
J. Chen+, I. Kim*, G. Terrell, L. Liu, and G. Toth (2014). Generalized partial linear single-index mixed model for repeated measures data. Journal of Nonparametric Statistics, 26, 291-302
Y. Xu+, I. Kim*, and P. Schaumont (2014). Adaptive Bayes Sum Test for the Equality of Two Nonparametric Functions. Journal of Applied Statistics, 41, 2639-2657
H. Pang, I. Kim, and H. Zhao (2014). Random effects model for Multiple Pathway Analysis with Applications to Type II Diabetes Microarray Data. Statistics in Bioscience, DOI 10.1007/s12561-014-9109-1
H. Zhang+ and I. Kim* (2014). Adaptive Rejection Metropolis Simulated Annealing (* corresponding author). Methodology and Computing in Applied Probability, 1-19, DOI 10.1007/s11009-014-9395-6
I. Kim*, H. Pang, and H. Zhao (2013). Statistical properties of semiparametric methods for evaluating pathway effects. Journal of Statistical Planning and Inference, 142, 745-763
A. Maiti, I. Kim, and P. Schaumont(2012). A Robust physical unclonable function with enhanced challenge-response set. IEEE Transaction on Information Forensics and Security, 7, 333-345.
C. Park, I. Kim*, and Y. Lee (2012). Error Variance Estimation in Nonparametric Regression under Lipschitz Condition and Small Sample Size. Journal of Statistical Planning and Inference, 142, 2369-2385
I. Kim, H. Pang, and H. Zhao (2012). Bayesian Semiparametric Regression Models for Evaluating Pathway Effects on Clinical Continuous and Binary Outcomes. Statistics in Medicine, 15, 1633-1651
I. Kim, Cheong, H. K., and H. Kim (2011). Semiparametric regression models for detecting effect modification in matched case-crossover Studies, Statistics in Medicine, 96, 1458-1468.
I. Kim, N. D. Cohen, A. Roussell, and N. Wang (2010). A two-component nonlinear mixed effects model for longitudinal data, with application to gastric emptying studies, Statistics in Medicine, 29, 1839-1859.
I. Kim, Y. Liu and H. Zhao (2007). Bayesian methods for predicting interacting protein pairs using domain information, Biometrics, 63, 824-833. Biometrics Showcase Paper of the Year
B. Kim, I. Kim, S. Lee, S. Kim, S. Rha and H. Chung (2005). Statistical methods of translating microarray data into clinically relevant diagnostic information in colorectal cancer, Bioinformatics, 21 (4), 517-528.
I. Kim and N. Cohen (2004). Semiparametric and nonparametric modeling of effect modification in matched studies, Computational Statistics and Data Analysis, 46, 631-643.
I. Kim, N. Cohen and R. J. Carroll (2003). Semiparametric regression splines in matched case-control studies, Biometrics, 59, 1158-1169.
I. Kim, N. Cohen and R. J. Carroll (2002). Effect heterogeneity by a matching covariate in matched case-control studies: A method for graphs-based representation, American Journal of Epidemiology, 156, 463-470.
+ student; * corresponding author; ** co-first author
Hwangho, S., Lee, S., Hosain, M., Lee, S., Kim, I. and Park, T. (2024), Kernel-based hierarchical structural component models for pathway analysis on survival phenotype, Genes and Genomics, to appear.
Brewe, A. M., Antezana L., Carlton, C. N., Gracanin, D.G., Richey, J. A., Kim, I., White, Susan W. (2024), A Randomized Trial Utilizing EEG Brain Computer Interface to Improve Facial Emotion Recognition in Autistic Adults, Journal of Autism and Developmental Disorders, to appear
Ren, X, Yu, M., Kim, I., Nam, W. and Qin, Y. (2024), Editorial: Advanced Microfluidics for Synthetic Biology and/or Biomedical Applications, Frontiers in Bioengineering and Biotechnology, to appear
Geng, X, Zhou, Z, Mi, Y, Wang, C, Wang, M, Guo, C, Qu, C, Feng, S, Kim, I, Yu, M, Ji, H, and Ren, X. (2023), Glioma Single-Cell Biomechanical Analysis by Cyclic Conical Constricted Microfluidics, Analytical Chemistry, to appear
Nam, W, Chen+, H, Ren, X., Agah, M., Kim, I., and Zhou, W. (2022), Nanolaminate Plasmonic Substrates for High-throughput Living Cell SERS Measurements and Artificial Neural Network Classification of Cellular Drug Responses, ACS Applied Nano Materials, to appear.
Richey, JA, Gracanin, D., Laconte, S., Lisinski, J., Kim, I., Coffman, M., Antezana, L., Carlton, C., Garcia, K., and White SW. (2022). Neural Mechanisms of Facial Emotion Recognition in Autism: Distinct Roles for Anterior Cingulate and dlPFC, Journal of Clinical Child & Adolescent Psychology, to appear
Rahman, A., Kang, S., Wang, W., Huang, Q., Kim, I., and Vikesland, P. (2021). Lectin-Modified Bacterial Cellulose Nanocrystals Decorated with Au Nanoparticles for Selective Detection of Bacteria Using Surface-Enhanced Raman Scattering Coupled with Machine Learning, ACS Applied Nano Materials, to appear
Kang, S., Kim, I. and Vikesland, P (2021). Discriminatory Detection of ssDNA by Surface-Enhanced Raman Spectroscopy (SERS) and Tree-Based Support Vector Machine (Tr-SVM), Analytical Chemistry, to appear
Kang, S., Nam, W., Zhou, W., Kim, I. and Vikesland, P (2021). Nanostructured Au-Based Surface-Enhanced Raman Scattering Substrates and Multivariate Regression for pH Sensing, ACS Applied Nano Materials, to appear
Nam, W., Ren, X., Kim, I., Strobl, J, Agah, M., and Zhou, W. (2021). Plasmonically calibrated label-Free surface-enhanced Raman spectroscopy for improved multivariate analysis of living cells in cancer subtyping and drug testing, Analytical Chemistry, to appear
Nam, W, Ren, X., Kim, I., Agah, M., Zhou, W. (2020). Electronic Raman scattering calibration for quantitative surface-enhanced Raman spectroscopy and improved biostatistical analysis., Frontiers in Optics, FW1E.5
Ren, X., Nam, W., Ghassemi, P., Strobl, J., Kim, I., Zhou, W., Agah, M. (2020). Scalable nanolaminated SERS multiwell cell culture assay, Microsystems & Nanoengineering, 6, 1-11.
Kim, D, Hong, S, Park BJ, KIm, I. (2020). Understanding heterogeneous preferences of hotel choice attributes: Do customer segments matter? Journal of Hospitality and Tourism Management, 45, 330-337.
W. Nam, Xiang, R., S. Tali, P. Ghassemi, I. Kim, M. Agah, W. Zhou (2019). RI-Insensitive Nanolaminated SERS substrares for label-free raman profiling and classification of living cancer cells. Nano Letters, to appear
I. Lobach, I. Kim, A. Alekseyenko, S. Lobach, and L Zhang (2019). A simple approximation to bias in gene-environment interaction estimates when a case might not be the case. Frontiers in Genetics, to appear
X, Ren, P, Ghassemi, Y, Kanaan, T, Naab, R, Dewitty, I, Kim, J, Strobl, and M, Agah (2018). Microfluidic Construction Assay for Tumor Sample Identification. ACS Sensors, 3,1510-1521.
T. Bui, G. Li, I. Kim, K. Wen, E. Twitchell, S. Lei, A. Ramesh, M. Weiss, X. Yang, S. Clark-Deener, R. Choy, L. Yuan (2016) Racecadotril reduces human rotavirus diarrhea and prevents body weight loss in neonatal gnotobiotic pigs. Comparative Medicine, to appear.
A. Trubanova, I. Kim, M.C., Coffman, M.A., Bell, J.A. Richey, S.M. LaConte, D. Gracanin, & S. W., White (2016). The role of perspective-taking on ability to recognize fear. Current Research in Psychology, to appear.
White, S. W., Richey, J. A., Gracanin, D., Bell, M. A., LaConte, S., Coffman, M., Trubanova, A., & Kim, I. (2014). The promise of neurotechnology in clinical translational science. Clinical Psychological Science, 1-19, DOI: 10.1177/2167702614549801
S. White, T. Ollendick, A. Albano, D. Oswald, C. Johnson, M. Southam-Gerow, I. Kim, L. Scahill (2013). Randomized Controlled Trial: Multimodal Anxiety and Social Skill Intervention for Adolescents with Autism Spectrum Disorder. Journal of Autism and Developmental Disorders, 43, 382-394.
S. Ha, I. Kim*, Y. Wang, and J. Xuang (2011). Applications of Different Weighting Schemes To Improve Pathway Based Analysis, Comparative and Functional Genomics, 2011, 1-15.
L. Yuan, S. Honmab, I. Kim, S. I. Ishidad, J. T., Patton, A. Z., Kapikian, and Y. Hoshino (2009). Resistance to rotavirus infection in adult volunteers challenged with a virulent G1P1A[8],NSP4[B] virus correlated with serum IgG antibodies to homotypic VP7 and VP4, Journal of Infectious Diseases, 200, 1443-1451.
Y. Liu, I. Kim, and H. Zhao (2008). Protein interaction prediction from diverse sources, Drug Discovery Today, 13, 409-416.
Y. Wang and I. Kim (2008). A bootstrap-based simple probability model for classifying network traffic and detecting network intrusion, Security Journal, 21, 278-290.
Y. Wang, I. Kim, G. Mbateng and S. Y. Ho (2006). A latent class modeling approach to detect network intrusion, Computer Communication, 30, 93-100.
W. S. Lim, S. L. Payne, J. F. Edwards, I. Kim, J. M. Ball (2005), Differential effects of virulent and avirulent equine infectious anemia virus on macrophage cytokine expression, Virology, 295-306.
J. L. Cargile, J. A. Burrow, I. Kim, N. D. Cohen and A. M. Merritt (2004). Effect of dietary corn oil supplement on equine gastric acid, sodium and PGE2 content before and during pentagastrin infusion, Journal of Veterinary Internal Medicine, 18, 545-549.
N. Metayer, M. Lhote, A. Bahr, N. D. Cohen, I. Kim, A. J. Roussel and V. Jullian (2004). Meal size and starch content affect gastric emptying in horses, Equine Veterinary Journal, 36, 436-440.
AlBahar+, A., Kim, I., Yue, X. (2022).Stress-Aware Optimal Placement of Actuators for High Precision Quality Control of Composite Structures Assembly, IEEE Conference on Automation Science and Engineering, to appear.
S. Ha+, I. Kim*, and J. Xuang (2009). Enhancing pathway-based analysis with different weighting schemes. Proc. IEEE International Conference on Bioinformatics& Biomedicine, Washington D. C., USA, Nov. 2009, 384-387 (Acceptance rate : 19%)
I. Kim, A. Maiti, L. Nazhandali, P. Schaumont, V. Vivekraja, and H. Zhang (2010). From Statistics to Circuits: Foundations for future physical unclonable functions, 55-78, Towards Hardware Intrinsic Security : Foundation and Practice, edited by A. Sadeghi, Springer Information Security and Cryptography Series.
I. Kim, Y. Liu, and H. Zhao (2009). Sparsity priors for protein-protein interaction Bayesian methods, Bayesian Modeling in Bioinformatics, Chapter 10, edited by Dipak Day, Bani K. Mallick, and Samiran Ghosh, Chapman& Hall/CRC.
Y. Liu, I. Kim and H. Zhao (2009). Protein interaction predictions from diverse source, New Development in Biostatistics and Bioinformatics: Frontiers of Statistics, 159-178, Chapter 7, edited by Jianqing Fan, Xihong Lin, and Jun S. Liu, Chapman& Hall/CRC.
H. Pang, I. Kim and H. Zhao (2008). Pathway-based methods for analyzing microarray Data., Analysis of Microarray Data: A Network-Based Approach, Chapter 13, edited by M. Dehmer and F. Emmert-Streib, John Wiley& Sons, Ltd.
B. Kim, S. Lee, I. Kim, S. Kim, S. Rha and H. Chung (2004). Statistical issues in search for biomarkers of colorectal cancer using microarray experiments. Recent Advances in Quantitative Methods for Cancer and Human Health Risk Assessment, Chapter 20, edited by L. Edler and C. Kitsos, John Wiley& Sons, Ltd.