Skip to content
DraconiticResearch
Search Sources API
201,683 studies31 sourcesUpdated 7 min ago
Peer-reviewedLicence not statedJournal of Computational and Graphical Statistics

Spatial-Sign based Robust Sparse Precision Matrix Estimation and its Applications

  1. 1School of Mathematical Science, Nankai University
  2. 2NITFID, School of Statistics and Data Science, LEBPS, LPMC, AAIS and KLMDASR, Nankai University

Related

  1. Fast nonparametric estimation of sparse precision matrices with a priori sparsity structure
    Caleb Derrickson, Alexis Montoison, Vishwas Rao +2
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
  2. High-Dimensional Regularization of the Spatial Sign Covariance Matrix for Robust Shape Estimation
    Jonas Elmerraji, James C. Spall, Mateo Díaz
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  3. Mixture-based Nonparametric Estimation of Spatial Covariance Functions with Applications to HIV Key Population Size Estimation across Sub-Saharan Africa
    Manushi Siriwardana, Hyebin Song, Le Bao +1
    arXivPreprintCC BY 4.0Full textStatisticsarXiv
  4. Byzantine-Robust Sparse Regression with Missing Covariates
    Xiaofei Wu, Rongmei Liang, Jian Qing Shi
    arXivPreprintarXiv licenceFull textStatisticsarXiv
  5. Empowering Bayes with sources of uncertainty: from confidence modelling to sparse estimation
    Rosa Rafael Mouallem, Julyan Arbel, Nguyen Hien Duy
    HALPreprintCC BY 4.0Full textStatisticsHAL
BibTeX
@article{lu2026spatialsign,
  title = {{Spatial-Sign based Robust Sparse Precision Matrix Estimation and its Applications}},
  author = {Z. Lu and Long Feng},
  journal = {Journal of Computational and Graphical Statistics},
  year = {2026},
  month = oct,
  doi = {10.1080/10618600.2026.2743036},
  url = {http://arxiv.org/abs/2503.03575},
}
RIS
TY  - JOUR
TI  - Spatial-Sign based Robust Sparse Precision Matrix Estimation and its Applications
AU  - Z. Lu
AU  - Long Feng
PY  - 2026
DA  - 2026/10/06
JO  - Journal of Computational and Graphical Statistics
DO  - 10.1080/10618600.2026.2743036
UR  - http://arxiv.org/abs/2503.03575
SN  - 1061-8600
SN  - 1537-2715
ER  -