Jewel : A Novel Method for Joint Estimation of Gaussian Graphical Models
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References listed on IDEAS
- Jian Guo & Elizaveta Levina & George Michailidis & Ji Zhu, 2011. "Joint estimation of multiple graphical models," Biometrika, Biometrika Trust, vol. 98(1), pages 1-15.
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- Shang, Yilun, 2016. "On the likelihood of forests," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 157-166.
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- Patrick Danaher & Pei Wang & Daniela M. Witten, 2014. "The joint graphical lasso for inverse covariance estimation across multiple classes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 76(2), pages 373-397, March.
- Shan, Liang & Kim, Inyoung, 2018. "Joint estimation of multiple Gaussian graphical models across unbalanced classes," Computational Statistics & Data Analysis, Elsevier, vol. 121(C), pages 89-103.
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Cited by:
- Claudia Angelini & Daniela De Canditiis & Anna Plaksienko, 2022. "Jewel 2.0 : An Improved Joint Estimation Method for Multiple Gaussian Graphical Models," Mathematics, MDPI, vol. 10(21), pages 1-20, October.
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Keywords
Gaussian Graphical Model; group Lasso; joint estimation; network estimation;All these keywords.
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