Publications
Chen, J. and Park, C. (2024), A Deep Learning Paradigm for Medical Imaging Data, Expert Systems with Applications, 255, Part A, 124480.
Kwak, S. W., Ahn, J., Lee, J., and Park, C. (2024), Differentially Private Goodness-of-Fit Tests for Continuous Variables, Econometrics and Statistics, 31, 81-99.
Xiong, F., Jetson, J., Park, C., and Delcher, C. (2024), Federal Impacts on Buprenorphine Prescribing in Washington State, 2012 to 2022, American Journal of Public Health, 114(7), 696-704.
Das, S., West, F. D., and Park, C. (2024), Sparse Multi-Way Canonical Correlation Analysis for Multi-Modal Stroke Recovery Data, Biometrical Journal, 66, 2300037.
Lee, B., Ahn, J., and Park, C. (2023), Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy, Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023).
Park, M., Kim, J., Shin, S., Park, C., Jeon, J., Kwon, S.-S., and Choi, H. (2023), Quantiles for Encrypted Data, Applied Intelligence, 53, 24782-24791.
Park, J., Ahn, J., and Park, C. (2023), Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation, Proceedings of the 40th International Conference on Machine Learning (ICML 2023), 202, 27034-27047.
Kang, I., Choi, H., Yoon, Y.-J., Kwon, S.-S., and Park, C. (2023), Frechet Distance-Based Cluster Analysis for Multi-Dimensional Functional Data, Statistics and Computing, 33, Article 75.
An, S., Doan, T., Lee, J., Kim, J., Kim, Y.-J., Kim, Y., Yoon, C., Jung, S., Kim, D., Kwon, S., Kim, H.-J., Ahn, J., and Park, C. (2023), A Comparison of Synthetic Data Approaches Using Utility and Disclosure Risk Measures, The Korean Journal of Applied Statistics, 36, 141-166.
Kang, I., Park, C., Yoon, Y.-J., Park, C., Kwon, S.-S., and Choi, H. (2023), Classification of Histogram-Valued Data with Support Histogram Machines, Journal of Applied Statistics, 50, 675-690.
Chen, J., Park, C., and Ke, Y. (2022), Learning High Dimensional Multi-response Linear Models with Hybrid Quantum Computing, 2022 IEEE International Conference on Quantum Computing and Engineering (QCE), Broomfield, CO, USA, 2022, pp. 1-12.
Poythress, J. C., Ahn, J., and Park, C. (2022), Dimension-wise Sparse Low-rank Approximation of a Matrix with Application to Variable Selection in High-Dimensional Integrative Analyses of Association, Journal of Applied Statistics, 49, 3889-3907.
Park, J., Yoon, C., Park, C. and Ahn, J. (2022), Kernel Methods for Radial Transformed Compositional Data with Many Zeros, Proceedings of the 39th International Conference on Machine Learning (ICML 2022), 162, 17458-17472.
Poythress, J. C., Ahn, J., and Park, C. (2022), Low-rank, Orthogonally Decomposable Tensor Regression with Application to Visual Stimulus Decoding of fMRI Data, Journal of Computational and Graphical Statistics, 31, 190-203.
Samaddar, A., Jackson, B., Helms, C. J., Lazar, N. A., McDowell, J. E., and Park, C. (2022), A Group Comparison in FMRI Data Using a Semiparametric Model Under Shape Invariance, Computational Statistics and Data Analysis, 167, Article 107361.
Chung, J, Jackson, B., McDowell, J. E., and Park, C. (2021), Joint Estimation and Regularized Aggregation of Brain Network in FMRI Data, Journal of Neuroscience Methods, 364, Article 109374.
Zhang, Q., Park, C., and Chung, J. (2021), Minimax Estimation of Covariance and Precision Matrices for High-dimensional Time Series with Long-memory, Statistics & Probability Letters, 177, Article 109177.
Huh, J., Dyal, D., and Park, C. (2021), Nonparametric Estimation of Single-Index Models in Scale-Space, Journal of Statistical Computation and Simulation, 91, 2414-2443.
Kaiser, E., Poythress, J. C., Scheulin, K., Jurgielewicz, B., Lazar, N., Park, C., Stice, S., Ahn, J., and West, F. (2021), An Integrative Multivariate Approach for Predicting Functional Recovery in a Translational Pig Ischemic Stroke Model, Neural Regeneration Research, 16, 842-850.
Son, S., Park, C., and Jeon, Y. (2020), Sparse Graphical Models via Calibrated Concave Convex Procedure with Application to fMRI Data, Journal of Applied Statistics, 47, 997-1016.
Dahal, S., Franklin, D. H., Subedi, A., Cabrera, M., Hancock, D., Mahmud, K., Ney, L., Park, C., and Mishra, D. R. (2020), Strategic Grazing in Beef-Pastures for Improved Soil Health and Reduced Runoff-Nitrate-A step towards Sustainability, Sustainability, 12, 558.
Park, C., Choi, H., Delcher, C., Wang, Y., and Yoon, Y.-J. (2019), Convex Clustering Analysis for Histogram-Valued Data, Biometrics, 75, 603-612.
Choi, H. Poythress, J. C., Park, C., Jeon, J. and Park, C. (2019), Regularized Boxplot via Convex Clustering, Journal of Statistical Computation and Simulation, 89, 1227-1247.
Wang, L.-Y., Chung, J., Park, C., Choi, H., Rodrigue, A., Pierce, J., Clementz, B. A., and McDowell, J. E. (2019), Regularized Aggregation of Statistical Parametric Maps, Human Brain Mapping, 40, 65-79.
Liao, L., Park, C., and Choi, H. (2019), Penalized Expectile Regression: An Alternative to Penalized Quantile Regression, Annals of the Institute of Statistical Mathematics, 71, 409–438.
Bai, Y., Dang, Y., Park, C., and Lee, T. (2018), A Rolling Analysis on the Prediction of Value at Risk with Multivariate GARCH and Copula, Communications for Statistical Applications and Methods, 25, 605-618.
Lee, T. and Park, C. (2017), Tests for Serial Correlation in Mean and Variance of Time Series Objects, Journal of Statistical Computation and Simulation, 87, 478-492.
Wang, L.-Y., Park, C., Yeon, K., and Choi, H. (2017), Tracking Concept Drift Using a Constrained Penalized Regression Combiner, Computational Statistics & Data Analysis, 108, 52-69.
Liao, L., Park, C., Hannig, J., and Kang, K.-H. (2016), Autocovariance Function Estimation via Penalized Regression, Journal of Computational and Graphical Statistics, 25, 1041-1056.
Park, C., Jeon, Y., and Kang, K.-H. (2016), An Exploratory Data Analysis in Scale-Space for Interval-Valued Data, Journal of Applied Statistics, 43, 2643-2660.
Jeon, Y., Ahn, J., and Park, C. (2015), A Nonparametric Kernel Approach to Interval-Valued Data Analysis, Technometrics, 57, 566-575.
Wang, Y., Park, C., and Lee, T. (2015), Bootstrap-Based Test for Volatility Shifts in GARCH Against Long-Range Dependence, Communications for Statistical Applications and Methods, 22, 495-506.
Huh, J. and Park, C. (2015), Theoretical Investigation of an Exploratory Approach for Log-Density in Scale-Space, Statistics & Probability Letters, 107, 272-279.
Hao, N., Colsona, G., Seong, B., Park, C., and Wetzsteinc, M. (2015), Drought, Ethanol, and Livestock, Energy Economics, 49, 310-307.
Lee, T., Park, C., and Yoon, Y.-J. (2014), Bridge Estimation for Linear Regression Models with Mixing Properties, Australian and New Zealand Journal of Statistics, 56, 283-302.
Park, C., Hannig, J., and Kang, K.-H. (2014), Nonparametric Comparison of Multiple Regression Curves in Scale-Space, Journal of Computational and Graphical Statistics, 23, 657-677.
Lee, J., Park, C., Dyckman, K., Lazar, N. A., Austin, B., Li, Q., and McDowell, J. (2013), Practice-related Changes in Neural Circuitry Supporting Eye Movements Investigated via Wavelet-based Clustering Analysis, Human Brain Mapping, 34, 2276-2291.
Yoon, Y.-J., Park, C., and Lee, T. (2013), Penalized Regression Models with Autoregressive Error Terms, Journal of Statistical Computation and Simulation, 83, 1756-1772.
Park, C. and Huh, J. (2013), Nonparametric Estimation of a Log-Variance Function in Scale-Space, Journal of Statistical Planning and Inference, 143, 1766-1780.
Jeong, S.-O., Hoss, A., Park, C., Ryu, Y., and Kang, K. (2013), Portfolio Selection for Socially Responsible Investment via Nonparametric Frontier Models, Communications for Statistical Applications and Methods, 20, 115-127.
Hannig, J., Lee, T. C. M., and Park, C. (2013), Metrics for SiZer Map Comparison, Stat, 2, 49-60.
Park, C. and Huh, J. (2013), Statistical Inference and Visualization in Scale-Space Using Local Likelihood, Computational Statistics & Data Analysis, 57, 336-348.
Ahn, J., Peng, M., Park, C., and Jeon, Y. (2012), A Resampling Approach for Interval-Valued Data Regression, Statistical Analysis and Data Mining, 5, 336-348.
Yoon, Y.-J., Park, C., Hofmeister, E., and Kang, S. (2012), Group Variable Selection in Cardiopulmonary Cerebral Resuscitation Data for Veterinary Patients, Journal of Applied Statistics, 39, 1605-1621.
Vaughan, A., Jun, M., and Park, C. (2012), Statistical Inference and Visualization in Scale-Space for Spatially Dependent Images, Journal of the Korean Statistical Society, 41, 115-135.
Park, C., Ahn, J., Hendry, M., and Jang, W. (2011), Analysis of Long Period Variable Stars with Nonparametric Tests for Trend Detection, Journal of the American Statistical Association, 106, 832-845.
Park, C. and Yoon, Y.-J. (2011), Bridge Regression: Adaptivity and Group Variable Selection, Journal of Statistical Planning and Inference, 141, 3506-3519.
Park, C., Hernandez-Campos, F., Le, L., Marron, J. S., Park, J., Pipiras, V., Smith, F. D., Smith, R. L., Trovero, M., and Zhu, Z. (2011), Long Range Dependence Analysis of Internet Traffic, Journal of Applied Statistics, 38, 1407-1433.
Park, C., Lazar, N., Ahn, J., and Sornborger, A. (2010), A Multiscale Analysis of the Temporal Characteristics of Resting-State fMRI Data, Journal of Neuroscience Methods, 193, 334-342.
Park, C., Lee, T., and Hannig, J. (2010), Multiscale Exploratory Analysis of Regression Quantiles using Quantile Sizer, Journal of Computational and Graphical Statistics, 19, 497-513.
Yeon, K., Song, M., Kim, Y., Choi, H., and Park, C. (2010), Model Averaging under Concept Drift via Penalized Regression, Journal of Computational and Graphical Statistics, 19, 457-473.
Park, C., Hernandez-Campos, F., Marron, J. S., Smith, F. D., and Jeffay, K. (2010), Analysis of Dependence Among Size, Rate, and Duration in Internet Flows, Annals of Applied Statistics, 4, 26-52.
Park, C. (2010), Block Thresholding Wavelet Regression Using SCAD Penalty, Journal of Statistical Planning and Inference, 140, 2755-2770.
Park, J. and Park, C. (2009), Robust estimation of the Hurst parameter and selection of an onset scaling, Statistica Sinica, 19, 1531-1555.
Park, C., Hannig, J., and Kang, K. (2009), Improved SiZer for Time Series, Statistica Sinica, 19, 1511-1530.
Park, C., Vaughan, A., Hannig, J., and Kang, K. (2009), SiZer for the Comparison of Time Series, Journal of Statistical Planning and Inference, 139, 3974-3988.
Park, C. and Kang, K. (2008), SiZer Analysis for the Comparison of Regression Curves, Computational Statistics & Data Analysis, 52, 3954-3970.
Liu, Y., Zhang, H., Park, C., and Ahn, J. (2007), Support Vector Machines with Adaptive Lq Penalty, Computational Statistics & Data Analysis, 51, 6380-6394.
Park, C., Godtliebsen, F., Taqqu, M., Stoev, S., and Marron, J. S. (2007), Visualization and Inference Based on Wavelet Coefficients, SiZer and SiNos, Computational Statistics & Data Analysis, 51, 5994-6012.
Rondonotti, V., Marron, J. S., and Park, C. (2007), SiZer for Time Series: A New Approach to the Analysis of Trends, Electronic Journal of Statistics, 1, 268-289.
Park, C., Shen, H., Hernandez-Campos, F., Marron, J. S., and Veitch, D. (2006), Capturing the Elusive Poissonity in Web Traffic, Proceedings of 14th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) 2006, 189-196.
Gonzalez, B., Hernandez-Campos, F., Marron, J. S., and Park, C. (2006), Visualization Challenges in Internet Traffic Research, Graphics of Large Data Sets: Visualizing a Million, Ed: A.Unwin, M. Theus, and H. Hofmann, Springer, New York, 203-226.
Park, C. and Kim, W. (2006), Wavelet Estimation of a Regression Function with a Sharp Change Point in a Random Design, Journal of Statistical Planning and Inference, 136, 2381-2394.
Stoev, S., Taqqu, M., Park, C., Michailidis, G., and Marron, J. S. (2006), LASS: a Tool for the Local Analysis of Self-Similarity, Computational Statistics & Data Analysis, 50, 2447-2471.
Zhang, H., Ahn, J., Lin, X., and Park, C. (2006), Gene Selection Using Support Vector Machines with Nonconvex Penalty, Bioinformatics, 22, 88-95.
Park, C., Hernandez-Campos, F., Marron, J. S., and Smith, F. D. (2005), Long-Range Dependence in a Changing Internet Traffic Mix, Computer Networks, 48, 401-422.
Stoev, S., Taqqu, M., Park, C., and Marron, J. S. (2005), On the Wavelet Spectrum Diagnostic for Hurst Parameter Estimation in the Analysis of Internet Traffic, Computer Networks, 48, 423-445.
Hernandez-Campos, F., Marron, J. S., Resnick, S. I., Park, C., and Jeffay, K. (2005), Extremal Dependence: Internet Traffic Applications, Stochastic Models, 21, 1-35.
Park, C., Marron, J. S., and Rondonotti, V. (2004), Dependent SiZer: Goodness-of-Fit Tests for Time Series Models, Journal of Applied Statistics, 31, 999-1017.
Park, C. and Kim, W. (2004), Estimation of a Regression Function with a Sharp Change Point Using Boundary Wavelets, Statistics & Probability Letters, 66, 435-448.
Kang, K, Koo, J., and Park, C. (2000), Kernel Estimation of Discontinuous Regression Functions, Statistics & Probability Letters, 47, 277-285.