Comparison of two inference approaches in Gaussian graphical models

2017-04-01
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.
Clinical Biochemistry, Biochemistry, Molecular Biology, Biochemistry, medical
https://hdl.handle.net/11511/40762
TURKISH JOURNAL OF BIOCHEMISTRY-TURK BIYOKIMYA DERGISI
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.
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