noisysbmGGM

noisysbmGGM-package

Greedy Bayesian algorithm to fit the noisy stochastic block model to an observed sparse graph. Moreover, a graph inference procedure to recover Gaussian Graphical Model from real data. This procedure comes with a control of the false discovery rate. The method is described in the article "Enhancing the Power of Gaussian Graphical Model Inference by Modeling the Graph Structure" by Kilian, Rebafka, and Villers (2024) <a href="https://arxiv.org/abs/2402.19021">arXiv:2402.19021</a>.

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Greedy Bayesian algorithm to fit the noisy stochastic block model to an observed sparse graph. Moreover, a graph inference procedure to recover Gaussian Graphical Model (GGM) from real data. This procedure comes with a control of the false discovery rate. The method is described in the article "Enhancing the Power of Gaussian Graphical Model Inference by Modeling the Graph Structure" by Kilian, Rebafka, and Villers (2024) <arXiv:2402.19021>.

Valentin Kilian

Noisy Stochastic Block Model for GGM Inference

Fanny Villers

noisysbmGGM-package function

Maintainer: Valentin Kilian <a href="/link/valentin.kilian%40ens-rennes.fr?package=noisysbmGGM&version=0.1.2.3" data-mini-rdoc="noisysbmGGM::valentin.kilian@ens-rennes.fr">valentin.kilian@ens-rennes.fr</a>
Authors:<ul>
<li>Fanny Villers <a href="/link/fanny.villers%40upmc.fr?package=noisysbmGGM&version=0.1.2.3" data-mini-rdoc="noisysbmGGM::fanny.villers@upmc.fr">fanny.villers@upmc.fr</a></li>
</ul>

Author

Greedy Bayesian algorithm to fit the noisy stochastic block model to an observed sparse graph. Moreover, a graph inference procedure to recover Gaussian Graphical Model from real data. This procedure comes with a control of the false discovery rate. The method is described in the article "Enhancing the Power of Gaussian Graphical Model Inference by Modeling the Graph Structure" by Kilian, Rebafka, and Villers (2024) <a href='https://arxiv.org/abs/2402.19021'>arXiv:2402.19021</a>.

noisysbmGGM: Noisy Stochastic Block Mode: Graph and GGM Inference by Multiple Testing and Greedy Bayesian Algorithm — noisysbmGGM-package

Maintainer: Valentin Kilian <a href='mailto:valentin.kilian@ens-rennes.fr'>valentin.kilian@ens-rennes.fr</a>
Authors:<ul>
<li>Fanny Villers <a href='mailto:fanny.villers@upmc.fr'>fanny.villers@upmc.fr</a></li>
</ul>

noisysbmGGM-package: noisysbmGGM: Noisy Stochastic Block Mode: Graph and GGM Inference by Multiple Testing and Greedy Bayesian Algorithm

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