Works matching AU Kwan-Young Bak
Results: 11
Comparison of Multi-Risk Perceptions and Sociodemographic Characteristics in South Korea: Cognitive and Affective Dimensions.
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- SAGE Open, 2025, v. 15, n. 1, p. 1, doi. 10.1177/21582440251321269
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- Article
Minimax estimation in multi-task regression under low-rank structures.
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- Journal of Nonparametric Statistics, 2023, v. 35, n. 1, p. 122, doi. 10.1080/10485252.2022.2146110
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Spatially adaptive binary classifier using B-splines and total variation penalty.
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- Journal of Nonparametric Statistics, 2019, v. 31, n. 4, p. 887, doi. 10.1080/10485252.2019.1663847
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The regularization paths of total variation-penalized regression splines.
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- Communications in Statistics: Simulation & Computation, 2024, v. 53, n. 10, p. 5047, doi. 10.1080/03610918.2023.2170410
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- Article
Dynamics of COVID-19 risk perception and predictors in South Korea: a two-year longitudinal study from the pandemic's beginning (2020–2021).
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- Journal of Risk Research, 2024, v. 27, n. 8, p. 1010, doi. 10.1080/13669877.2024.2437624
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Sparse neural network regression with variable selection.
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- Computational Intelligence, 2022, v. 38, n. 6, p. 2075, doi. 10.1111/coin.12557
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Nonparametric logistic regression based on sparse triangulation over a compact domain.
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- Communications for Statistical Applications & Methods, 2024, v. 31, n. 5, p. 557, doi. 10.29220/CSAM.2024.31.5.557
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Dimensionality reduction in multivariate nonparametric regression via nuclear norm penalization.
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- Statistical Papers, 2025, v. 66, n. 3, p. 1, doi. 10.1007/s00362-025-01676-z
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Intrinsic spherical smoothing method based on generalized Bézier curves and sparsity inducing penalization.
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- Journal of Applied Statistics, 2023, v. 50, n. 9, p. 1942, doi. 10.1080/02664763.2022.2054962
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Additive regression splines with total variation and non negative garrote penalties.
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- Communications in Statistics: Theory & Methods, 2022, v. 51, n. 22, p. 7713, doi. 10.1080/03610926.2021.1879860
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An Adaptive Neural Network Regression Method for Structure Identification.
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- Journal of Computational & Graphical Statistics, 2024, v. 33, n. 3, p. 749, doi. 10.1080/10618600.2023.2284206
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- Article