Comparison of two inference approaches in Gaussian graphical models

Date

2017-04-01

Author

Purutçuoğlu Gazi, Vilda
Wit, Ernst

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Introduction: The Gaussian Graphical Model (GGM) is one of the well-known probabilistic models which is based on the conditional independency of nodes in the biological system. Here, we compare the estimates of the GGM parameters by the graphical lasso (glasso) method and the threshold gradient descent (TGD) algorithm.

Subject Keywords

Clinical Biochemistry, Biochemistry, Molecular Biology, Biochemistry, medical

URI

https://hdl.handle.net/11511/40762

Journal

TURKISH JOURNAL OF BIOCHEMISTRY-TURK BIYOKIMYA DERGISI

DOI

https://doi.org/10.1515/tjb-2016-0298

Collections

Department of Statistics, Article

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Citation Formats

V. Purutçuoğlu Gazi and E. Wit, “Comparison of two inference approaches in Gaussian graphical models,” TURKISH JOURNAL OF BIOCHEMISTRY-TURK BIYOKIMYA DERGISI, pp. 203–211, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40762.