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Latent-Variable Modeling: Algorithms, Inference, and Applications

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Figure

Figure 2.1: Graphical structure between a collection of 8 reservoirs without la-tent variables(variables) and the clouded green node represents latent variables
Figure 2.2: (a): Q-Q plot of the entire set of 55 reservoirs.(b): Q-Q plot of54 reservoirs (excluding the Farmington reservoir)
Figure 2.4: Sensitivity of the graphical model estimate to perturbations of λ aroundthe optimal value λ = 0.23 (this choice of λ leads to optimal validation performance):we observe that strong edges in the original model are strong edges in the perturbedmodel (i.e., with perturbed λ) with approximately the same strength.
Figure 2.5: Linkages between reservoir pairs in the graphical model (upper triangle)compared with those of the unregularized maximum likelihood estimate (lowertriangle)
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