References in zbMATH (referenced in 31 articles , 1 standard article )

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  1. Gan, Lingrui; Narisetty, Naveen; Liang, Feng: Bayesian estimation of Gaussian conditional random fields (2022)
  2. Fei, Zhe; Li, Yi: Estimation and inference for high dimensional generalized linear models: a splitting and smoothing approach (2021)
  3. Jiang, Haiyan; Xiong, Haoyi; Wu, Dongrui; Liu, Ji; Dou, Dejing: AgFlow: fast model selection of penalized PCA via implicit regularization effects of gradient flow (2021)
  4. Tuck, Jonathan; Barratt, Shane; Boyd, Stephen: A distributed method for fitting Laplacian regularized stratified models (2021)
  5. Le, Khuyen T.; Chaux, Caroline; Richard, Frédéric J. P.; Guedj, Eric: An adapted linear discriminant analysis with variable selection for the classification in high-dimension, and an application to medical data (2020)
  6. Liu, Qingyang; Zhang, Yuping: Joint estimation of heterogeneous exponential Markov random fields through an approximate likelihood inference (2020)
  7. Luo, Shan; Chen, Zehua: A procedure of linear discrimination analysis with detected sparsity structure for high-dimensional multi-class classification (2020)
  8. Navon, Aviv; Rosset, Saharon: Capturing between-tasks covariance and similarities using multivariate linear mixed models (2020)
  9. Zhang, Bin: Improved shrinkage estimator of large-dimensional covariance matrix under the complex Gaussian distribution (2020)
  10. Hallac, David; Nystrup, Peter; Boyd, Stephen: Greedy Gaussian segmentation of multivariate time series (2019)
  11. Sun, Qiang; Jiang, Bai; Zhu, Hongtu; Ibrahim, Joseph G.: Hard thresholding regression (2019)
  12. Aste, Tomaso; Di Matteo, T.: Sparse causality network retrieval from short time series (2017)
  13. Ollier, Edouard; Samson, Adeline; Delavenne, Xavier; Viallon, Vivian: A SAEM algorithm for fused Lasso penalized nonlinear mixed effect models: application to group comparison in pharmacokinetics (2016)
  14. Treister, Eran; Turek, Javier S.; Yavneh, Irad: A multilevel framework for sparse optimization with application to inverse covariance estimation and logistic regression (2016)
  15. van Wieringen, Wessel N.; Peeters, Carel F. W.: Ridge estimation of inverse covariance matrices from high-dimensional data (2016)
  16. Martella, Francesca; Vicari, Donatella; Vichi, Maurizio: Partitioning predictors in multivariate regression models (2015)
  17. El Anbari, Mohammed; Mkhadri, Abdallah: Penalized regression combining the ( L_1) norm and a correlation based penalty (2014)
  18. Paul, Debashis; Aue, Alexander: Random matrix theory in statistics: a review (2014)
  19. Rothman, Adam J.; Forzani, Liliana: On the existence of the weighted bridge penalized Gaussian likelihood precision matrix estimator (2014)
  20. Wang, Y.; Daniels, M. J.: Computationally efficient banding of large covariance matrices for ordered data and connections to banding the inverse Cholesky factor (2014)

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