| Spectral clustering based on learning similarity matrix S Park, H Zhao Bioinformatics 34 (12), 2069-2076, 2018 | 123 | 2018 |
| NITUMID: nonnegative matrix factorization-based immune-TUmor MIcroenvironment Deconvolution D Tang, S Park, H Zhao Bioinformatics 36 (5), 1344-1350, 2020 | 24 | 2020 |
| Integrating multidimensional data for clustering analysis with applications to cancer patient data S Park, H Xu, H Zhao Journal of the american statistical association 116 (533), 14-26, 2021 | 22 | 2021 |
| Linear programing models for portfolio optimization using a benchmark S Park, H Song, S Lee The European Journal of Finance 25 (5), 435-457, 2019 | 22 | 2019 |
| Time-dependent spatially varying graphical models, with application to brain fMRI data analysis K Greenewald, S Park, S Zhou, A Giessing Advances in neural information processing systems 30, 2017 | 15 | 2017 |
| Sparse principal component analysis with missing observations S Park, H Zhao The Annals of Applied Statistics 13 (2), 1016-1042, 2019 | 14 | 2019 |
| Hypothesis testing for regional quantiles S Park, X He Journal of Statistical Planning and Inference 191, 13-24, 2017 | 14 | 2017 |
| Non-separable covariance models for spatio-temporal data, with applications to neural encoding analysis S Park, K Shedden, S Zhou arXiv preprint arXiv:1705.05265, 2017 | 12 | 2017 |
| Low-rank regression models for multiple binary responses and their applications to cancer cell-line encyclopedia data S Park, ER Lee, H Zhao Journal of the American Statistical Association 119 (545), 202-216, 2024 | 7 | 2024 |
| Dantzig type optimization method with applications to portfolio selection S Park, ER Lee, S Lee, G Kim Sustainability 11 (11), 3216, 2019 | 7 | 2019 |
| Dantzig-type penalization for multiple quantile regression with high dimensional covariates S Park, X He, S Zhou Statistica Sinica, 1619-1638, 2017 | 6 | 2017 |
| SCADIE: simultaneous estimation of cell type proportions and cell type-specific gene expressions using SCAD-based iterative estimating procedure D Tang, S Park, H Zhao Genome Biology 23 (129), 2022 | 5 | 2022 |
| Hypothesis testing of varying coefficients for regional quantiles S Park, ER Lee Computational Statistics & Data Analysis 159, 107204, 2021 | 4 | 2021 |
| Varying‐coefficients for regional quantile via KNN‐based LASSO with applications to health outcome study S Park, ER Lee, HG Hong Statistics in Medicine 42 (22), 3903-3918, 2023 | 3 | 2023 |
| Poisson reduced-rank models with sparse loadings ER Lee, S Park Journal of the Korean Statistical Society 50 (4), 1079-1097, 2021 | 3 | 2021 |
| Regional quantile regression for multiple responses S Park, H Kim, ER Lee Computational Statistics & Data Analysis 188, 107826, 2023 | 2 | 2023 |
| Quantile forward regression for high-dimensional survival data ER Lee, S Park, SK Lee, HG Hong Lifetime Data Analysis 29 (4), 769-806, 2023 | 2 | 2023 |
| One-step spectral clustering of weighted variables on single-cell RNA-sequencing data MY Park, S Park The Korean Journal of Applied Statistics 33 (4), 511-526, 2020 | 2 | 2020 |
| Selected Problems for High-Dimensional Data–Quantile and Errors-in-Variables Regressions S Park University of Michigan, 2016 | 2 | 2016 |
| Penalized kernel quantile regression for varying coefficient models ER Lee, J Cho, S Park Journal of Statistical Planning and Inference 217, 8-23, 2022 | | 2022 |
Hongyu ZhaoYale University在 yale.edu 的电子邮件经过验证
