Publications

Publications 

•     Poythress, J., Kaiser, E., Scheulin, K., Jurgielewicz, B., Lazar, N., Park, C., Stice, S., Ahn, J., and West, F. (2020), An Integrative Multivariate Approach for Predicting Functional Recovery in a Translational Pig Ischemic Stroke Model, To appear in Neural Generation Research.  
•     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 and 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 and 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 and Data Analysis, 52, 3954-3970.  
•     Liu, Y., Zhang, H., Park, C., and Ahn, J. (2007), Support Vector Machines with Adaptive Lq Penalty, Computational Statistics and 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 and 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 and 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.

Submitted / Under revision

•    Huh, J. Dyal, D., and Park, C., Nonparametric Estimation of Single-Index Models in Scale-Space, Under revision.
•    Samaddar, A., Jackson, B., Helms, C. J., Lazar, N. A., McDowell, J. E., and Park, C., A Group Comparison in FMRI Data Using a Semiparametric Model Under Shape Invariance, Submitted.
•    Poythress, J. C., Ahn, J., and Park, C., Dimension-wise Sparse Low-rank Approximation of a Matrix with Application to Variable Selection in High-Dimensional Integrative Analyses of Association, Submitted.
•    Poythress, J. C., Ahn, J., and Park, C., Low-rank, Orthogonally Decomposable Tensor Regression with Application to Visual Stimulus Decoding of fMRI Data, Submitted.
•    Kang, I., Park, C., Yoon, Y.-J., Park, C., and Choi, H., Classification of Histogram-Valued Data with Support Histogram Machines, Submitted.
•    Zhang, Q. and Park, C., Minimax Estimation of Covariance and Precision Matrices for High-dimensional Time Series with Long-memory, Submitted.
•    Dahal, S., Subedi, A., Cabrera, M., Hancock, D., Hendricks, T., Mahmud, K., Ney, L., Mishra, D., and Park, C., Strategic Grazing for Improving Spatial Distribution of Active Carbon and Inorganic Nitrogen, Submitted.