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Park, Cheolwoo (박철우)
교수, (수리과학과)
Research Area
Nonparametric function estimation, Statistical/machine Learning, Neuroscience
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    NO Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date)
    1
    A Deep Learning Paradigm for Medical Imaging Data

    Chen, Jinyang; Park, Cheolwoo, Expert Systems with Applications, v.255, 2024-12

    2
    Federal Impacts on Buprenorphine Prescribing in Washington State, 2012 to 2022

    Xiong, Fan; Jetson, Jillian; Park, Cheolwoo; et al, American Journal of Public Health, v.114, no.7, pp.696 - 704, 2024-07

    3
    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

    4
    Quantile estimation for encrypted data

    Park, Minje; Kim, Jaeseon; Shin, Sungchul; et al, APPLIED INTELLIGENCE, v.53, no.21, pp.24782 - 24791, 2023-11

    5
    Frechet distance-based cluster analysis for multi-dimensional functional data

    Kang, Ilsuk; Choi, Hosik; Yoon, Young Joo; et al, STATISTICS AND COMPUTING, v.33, no.4, 2023-08

    6
    A comparison of synthetic data approaches using utility and disclosure risk measures

    An, Seongbin; Doan, Trang; Lee, Juhee; et al, KOREAN JOURNAL OF APPLIED STATISTICS, v.36, no.2, pp.141 - 166, 2023-04

    7
    Classification of histogram-valued data with support histogram machines

    Kang, Ilsuk; Park, Cheolwoo; Yoon, Young Joo; et al, JOURNAL OF APPLIED STATISTICS, v.50, no.3, pp.675 - 690, 2023-02

    8
    Climate change adaptation and its impacts on farm income and downside risk exposure

    Dhakal, Chandra; Khadka, Savin; Park, Cheolwoo; et al, Resources, Environment and Sustainability, v.10, 2022-12

    9
    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

    10
    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

    11
    A group comparison in fMRI data using a semiparametric model under shape invariance

    Samaddar, Arunava; Jackson, Brooke S.; Helms, Christopher J.; et al, COMPUTATIONAL STATISTICS & DATA ANALYSIS, v.167, 2022-03

    12
    Joint estimation and regularized aggregation of brain network in FMRI data

    Chung, Jongik; Jackson, Brooke S; Mcdowell, Jennifer E; et al, JOURNAL OF NEUROSCIENCE METHODS, v.364, pp.109374, 2021-12

    13
    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

    14
    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

    15
    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.; et al, NEURAL REGENERATION RESEARCH, v.16, no.5, pp.842 - 850, 2021-05

    16
    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

    17
    Strategic Grazing in Beef-Pastures for Improved Soil Health and Reduced Runoff-Nitrate-A Step towards Sustainability

    Dahal, Subash; Franklin, Dorcas; Subedi, Anish; et al, SUSTAINABILITY, v.12, no.2, 2020-01

    18
    Convex clustering analysis for histogram-valued data

    Park, Cheolwoo; Choi, Hosik; Delcher, Chris; et al, BIOMETRICS, v.75, no.2, pp.603 - 612, 2019-06

    19
    Regularized boxplot via convex clustering

    Choi, Hosik; Poythress, J. C.; Park, Cheolwoo; et al, JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, v.89, no.7, pp.1227 - 1247, 2019-05

    20
    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
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