A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions
Crossref DOI link: https://doi.org/10.1007/s11222-022-10102-5
Published Online: 2022-06-03
Published Print: 2022-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Samanta, Srijata
Khare, Kshitij
Michailidis, George http://orcid.org/0000-0002-3676-1739
Funding for this research was provided by:
National Institutes of Health (1U01CA235487-01, 1R01GM114029-01)
Text and Data Mining valid from 2022-06-01
Version of Record valid from 2022-06-01
Article History
Received: 4 June 2021
Accepted: 27 April 2022
First Online: 3 June 2022