Showing results 1 to 60 of 66
A Deep Learning Paradigm for Medical Imaging Data Chen, Jinyang; Park, Cheolwoo, Expert Systems with Applications, v.255, 2024-12 |
A group comparison in fMRI data using a semiparametric model under shape invariance Samaddar, Arunava; Jackson, Brooke S.; Helms, Christopher J.; Lazar, Nicole A.; McDowell, Jennifer E.; Park, Cheolwoo, COMPUTATIONAL STATISTICS & DATA ANALYSIS, v.167, 2022-03 |
A multiscale analysis of the temporal characteristics of resting-state fMRI data Park, Cheolwoo; Lazar, Nicole A.; Ahn, Jeongyoun; Sornborger, Andrew, JOURNAL OF NEUROSCIENCE METHODS, v.193, no.2, pp.334 - 342, 2010-11 |
A Nonparametric Kernel Approach to Interval-Valued Data Analysis Jeon, Yongho; Ahn, Jeongyoun; Park, Cheolwoo, TECHNOMETRICS, v.57, no.4, pp.566 - 575, 2015-10 |
A resampling approach for interval-valued data regression Ahn, Jeongyoun; Peng, M; Park, Cheolwoo; Jeon, Y, STATISTICAL ANALYSIS AND DATA MINING, v.5, no.4, pp.336 - 348, 2012-08 |
A rolling analysis on the prediction of value at risk with multivariate GARCH and copula Bai, Yang; Dang, Yibo; Park, Cheolwoo; Lee, Taewook, COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS, v.25, no.6, pp.605 - 618, 2018-11 |
An exploratory data analysis in scale-space for interval-valued data Park, Cheolwoo; Jeon, Yongho; Kang, Kee-Hoon, JOURNAL OF APPLIED STATISTICS, v.43, no.14, pp.2643 - 2660, 2016-11 |
An integrative multivariate approach for predicting functional recovery using magnetic resonance imaging parameters in a translational pig ischemic stroke model Kaiser, Erin E.; Poythress, J. C.; Scheulin, Kelly M.; Jurgielewicz, Brian J.; Lazar, Nicole A.; Park, Cheolwoo; Stice, Steven L.; et al, NEURAL REGENERATION RESEARCH, v.16, no.5, pp.842 - 850, 2021-05 |
ANALYSIS OF DEPENDENCE AMONG SIZE, RATE AND DURATION IN INTERNET FLOWS Park, Cheolwoo; Hernandez-Campos, Felix; Marron, J. S.; Jeffay, Kevin; Smith, F. Donelson, ANNALS OF APPLIED STATISTICS, v.4, no.1, pp.26 - 52, 2010-03 |
Analysis of Long Period Variable Stars With Nonparametric Tests for Trend Detection Park, Cheolwoo; Ahn, Jeongyoun; Hendry, Martin; Jang, Woncheol, JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, v.106, no.495, pp.832 - 845, 2011-09 |
Autocovariance Function Estimation via Penalized Regression Liao, Lina; Park, Cheolwoo; Hannig, Jan; Kang, Kee-Hoon, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, v.25, no.4, pp.1041 - 1056, 2016-12 |
Block thresholding wavelet regression using SCAD penalty Park, Cheolwoo, JOURNAL OF STATISTICAL PLANNING AND INFERENCE, v.140, no.9, pp.2755 - 2770, 2010-09 |
Bootstrap-Based Test for Volatility Shifts in GARCH against Long-Range Dependence Wang, Yu; Park, Cheolwoo; Lee, Taewook, COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS, v.22, no.5, pp.495 - 506, 2015-09 |
BRIDGE ESTIMATION FOR LINEAR REGRESSION MODELS WITH MIXING PROPERTIES Lee, Taewook; Park, Cheolwoo; Yoon, Young Joo, AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, v.56, no.3, pp.283 - 302, 2014-09 |
Bridge regression: Adaptivity and group selection Park, Cheolwoo; Yoon, Young Joo, JOURNAL OF STATISTICAL PLANNING AND INFERENCE, v.141, no.11, pp.3506 - 3519, 2011-11 |
Classification of histogram-valued data with support histogram machines Kang, Ilsuk; Park, Cheolwoo; Yoon, Young Joo; Park, Changyi; Kwon, Soon-Sun; Choi, Hosik, JOURNAL OF APPLIED STATISTICS, v.50, no.3, pp.675 - 690, 2023-02 |
Climate change adaptation and its impacts on farm income and downside risk exposure Dhakal, Chandra; Khadka, Savin; Park, Cheolwoo; Escalante, Cesar L., Resources, Environment and Sustainability, v.10, 2022-12 |
Convex clustering analysis for histogram-valued data Park, Cheolwoo; Choi, Hosik; Delcher, Chris; Wang, Yanning; Yoon, Young Joo, BIOMETRICS, v.75, no.2, pp.603 - 612, 2019-06 |
Dependent SiZer: goodness-of-fit tests for tune series models Park, Cheolwoo; Marron J.S.; Rondonotti V., JOURNAL OF APPLIED STATISTICS, v.31, no.8, pp.999 - 1017, 2004-10 |
Differentially Private Goodness-of-Fit Tests for Continuous Variables Kwak, Seung Woo; Ahn, Jeongyoun; Lee, Jaewoo; Park, Cheolwoo, ECONOMETRICS AND STATISTICS, v.31, pp.81 - 99, 2024-07 |
Dimension-wise sparse low-rank approximation of a matrix with application to variable selection in high-dimensional integrative analyses of association Poythress, JC; Park, Cheolwoo; Ahn, Jeongyoun, JOURNAL OF APPLIED STATISTICS, v.49, no.15, pp.3889 - 3907, 2022-12 |
Drought, ethanol, and livestock Hao, Na; Colson, Gregory; Seong, Byeongchan; Park, Cheolwoo; Wetzstein, Michael, ENERGY ECONOMICS, v.49, pp.301 - 307, 2015-05 |
Estimation of a regression function with a sharp change point using boundary wavelets Park, Cheolwoo; Kim, WC, STATISTICS & PROBABILITY LETTERS, v.66, no.4, pp.435 - 448, 2004-03 |
Extremal dependence: Internet traffic applications Hernandez-Campos, F; Jeffay, K; Park, Cheolwoo; Marron, JS; Resnick, SI, STOCHASTIC MODELS, v.21, no.1, pp.1 - 35, 2005 |
Federal Impacts on Buprenorphine Prescribing in Washington State, 2012 to 2022 Xiong, Fan; Jetson, Jillian; Park, Cheolwoo; Delcher, Chris, AMERICAN JOURNAL OF PUBLIC HEALTH, v.114, no.7, pp.1 - 9, 2024-07 |
Frechet distance-based cluster analysis for multi-dimensional functional data Kang, Ilsuk; Choi, Hosik; Yoon, Young Joo; Park, Junyoung; Kwon, Soon-Sun; Park, Cheolwoo, STATISTICS AND COMPUTING, v.33, no.4, 2023-08 |
Gene selection using support vector machines with non-convex penalty Zhang, HH; Ahn, Jeongyoun; Lin, X; Park, Cheolwoo, BIOINFORMATICS, v.22, no.1, pp.88 - 95, 2006-01 |
Group variable selection in cardiopulmonary cerebral resuscitation data for veterinary patients Yoon, Young Joo; Park, Cheolwoo; Hofmeister, Erik; Kang, Sangwook, JOURNAL OF APPLIED STATISTICS, v.39, no.7, pp.1605 - 1621, 2012 |
IMPROVED SIZER FOR TIME SERIES Park, Cheolwoo; Hannig, Jan; Kang, Kee-Hoon, STATISTICA SINICA, v.19, no.4, pp.1511 - 1530, 2009-10 |
Joint estimation and regularized aggregation of brain network in FMRI data Chung, Jongik; Jackson, Brooke S; Mcdowell, Jennifer E; Park, Cheolwoo, JOURNAL OF NEUROSCIENCE METHODS, v.364, pp.109374, 2021-12 |
Kernel estimation of discontinuous regression functions Kang, KH; Koo, JY; Park, Cheolwoo, STATISTICS & PROBABILITY LETTERS, v.47, no.3, pp.277 - 285, 2000-04 |
LASS: a tool for the local analysis of self-similarity Stoev, S; Taqqu, MS; Park, Cheolwoo; Michailidis, G; Marron, JS, COMPUTATIONAL STATISTICS & DATA ANALYSIS, v.50, no.9, pp.2447 - 2471, 2006-05 |
Long-range dependence analysis of Internet traffic Park, Cheolwoo; Hernandez-Campos, Felix; Le, Long; Marron, J. S.; Park, Juhyun; Pipiras, Vladas; Smith, F. D.; et al, JOURNAL OF APPLIED STATISTICS, v.38, no.7, pp.1407 - 1433, 2011 |
Long-range dependence in a changing Internet traffic mix Park, Cheolwoo; Hernandez-Campos, H; Marron, JS; Smith, FD, COMPUTER NETWORKS, v.48, no.3, pp.401 - 422, 2005-06 |
Low-rank, Orthogonally Decomposable Tensor Regression With Application to Visual Stimulus Decoding of fMRI Data Poythress, JC; Ahn, Jeongyoun; Park, Cheolwoo, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, v.31, no.1, pp.190 - 203, 2022-03 |
Metrics for SiZer map comparison Hannig J; Lee, TCM; Park, Cheolwoo, STAT, v.2, no.1, pp.49 - 60, 2013-12 |
Minimax estimation of covariance and precision matrices for high-dimensional time series with long-memory Zhang, Qihu; Park, Cheolwoo; Chung, Jongik, STATISTICS PROBABILITY LETTERS, v.177, pp.109177, 2021-10 |
Model Averaging via Penalized Regression for Tracking Concept Drift Yeon, Kyupil; Song, Moon Sup; Kim, Yongdai; Choi, Hosik; Park, Cheolwoo, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, v.19, no.2, pp.457 - 473, 2010-06 |
Multiscale Exploratory Analysis of Regression Quantiles Using Quantile SiZer Park, Cheolwoo; Lee, Thomas C. M.; Hannig, Jan, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, v.19, no.3, pp.497 - 513, 2010-09 |
Nonparametric Comparison of Multiple Regression Curves in Scale-Space Park, Cheolwoo; Hannig, Jan; Kang, Kee-Hoon, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, v.23, no.3, pp.657 - 677, 2014-09 |
Nonparametric estimation of a log-variance function in scale-space Park, Cheolwoo; Huh, Jib, JOURNAL OF STATISTICAL PLANNING AND INFERENCE, v.143, no.10, pp.1766 - 1780, 2013-10 |
Nonparametric estimation of single-index models in scale-space Huh, Jib; Dyal, Derek; Park, Cheolwoo, JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, v.91, no.12, pp.2414 - 2443, 2021-08 |
On the wavelet spectrum diagnostic for Hurst parameter estimation in the analysis of Internet traffic Stoev, S; Taqqu, MS; Park, Cheolwoo; Marron, JS, COMPUTER NETWORKS, v.48, no.3, pp.423 - 445, 2005-06 |
Penalized expectile regression: an alternative to penalized quantile regression Liao, Lina; Park, Cheolwoo; Choi, Hosik, ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, v.71, no.2, pp.409 - 438, 2019-04 |
Penalized regression models with autoregressive error terms Yoon, Young Joo; Park, Cheolwoo; Lee, Taewook, JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, v.83, no.9, pp.1756 - 1772, 2013-09 |
Portfolio Selection for Socially Responsible Investment via Nonparametric Frontier Models Jeong, Seok-Oh; Hoss, Andrew; Park, Cheolwoo; Kang, Kee-Hoon; Ryu, Youngjae, Communications for Statistical Applications and Methods, v.20, no.2, pp.115 - 127, 2013-03 |
Practice-related changes in neural activation patterns investigated via wavelet-based clustering analysis Lee, Jinae; Park, Cheolwoo; Dyckman, Kara A.; Lazar, Nicole A.; Austin, Benjamin P.; Li, Qingyang; McDowell, Jennifer E., HUMAN BRAIN MAPPING, v.34, no.9, pp.2276 - 2291, 2013-09 |
Quantile estimation for encrypted data Park, Minje; Kim, Jaeseon; Shin, Sungchul; Park, Cheolwoo; Jeon, Jong-June; Kwon, SoonSun; Choi, Hosik, APPLIED INTELLIGENCE, v.53, no.21, pp.24782 - 24791, 2023-11 |
Regularized aggregation of statistical parametric maps Wang, Li-Yu; Chung, Jongik; Park, Cheolwoo; Choi, Hosik; Rodrigue, Amanda L.; Pierce, Jordan E.; Clementz, Brett A.; et al, HUMAN BRAIN MAPPING, v.40, no.1, pp.65 - 79, 2019-01 |
Regularized boxplot via convex clustering Choi, Hosik; Poythress, J. C.; Park, Cheolwoo; Jeon, Jong-June; Park, Changyi, JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, v.89, no.7, pp.1227 - 1247, 2019-05 |
ROBUST ESTIMATION OF THE HURST PARAMETER AND SELECTION OF AN ONSET SCALING Park, Juhyun; Park, Cheolwoo, STATISTICA SINICA, v.19, no.4, pp.1531 - 1555, 2009-10 |
SiZer analysis for the comparison of regression curves Park, Cheolwoo; Kang, Kee-Hoon, COMPUTATIONAL STATISTICS & DATA ANALYSIS, v.52, no.8, pp.3954 - 3970, 2008-04 |
SiZer analysis for the comparison of time series Park, Cheolwoo; Vaughan, Amy; Hannig, Jan; Kang, Kee-Hoon, JOURNAL OF STATISTICAL PLANNING AND INFERENCE, v.139, no.12, pp.3974 - 3988, 2009-12 |
SiZer for time series: A new approach to the analysis of trends Rondonotti, Vitaliana; Marron, J. S.; Park, Cheolwoo, ELECTRONIC JOURNAL OF STATISTICS, v.1, pp.268 - 289, 2007 |
Sparse graphical models via calibrated concave convex procedure with application to fMRI data Son, Sungtaek; Park, Cheolwoo; Jeon, Yongho, JOURNAL OF APPLIED STATISTICS, v.47, no.6, pp.997 - 1016, 2020-04 |
Sparse multiway canonical correlation analysis for multimodal stroke recovery data Das, Subham; West, Franklin D.; Park, Cheolwoo, BIOMETRICAL JOURNAL, v.66, no.2, 2024-03 |
Statistical inference and visualization in scale-space for spatially dependent images Vaughan, Amy; Jun, Mikyoung; Park, Cheolwoo, JOURNAL OF THE KOREAN STATISTICAL SOCIETY, v.41, no.1, pp.115 - 135, 2012-03 |
Statistical inference and visualization in scale-space using local likelihood Park, Cheolwoo; Huh, Jib, COMPUTATIONAL STATISTICS & DATA ANALYSIS, v.57, no.1, pp.336 - 348, 2013-01 |
Statistical Scale Space Methods Park, Cheolwoo; Jeon, Yongho; Kang, Kee-Hoon, INTERNATIONAL STATISTICAL REVIEW, v.85, no.1, pp.33 - 35, 2017-04 |
Strategic Grazing in Beef-Pastures for Improved Soil Health and Reduced Runoff-Nitrate-A Step towards Sustainability Dahal, Subash; Franklin, Dorcas; Subedi, Anish; Cabrera, Miguel; Hancock, Dennis; Mahmud, Kishan; Ney, Laura; et al, SUSTAINABILITY, v.12, no.2, 2020-01 |
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