A Bayesian model using IGMRF smoothness prior and spike-and-slab outlier prior detects node-level outliers in graph signals while providing posterior probability estimates via Gibbs sampling.
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Bayesian Node-Level Outlier Detection for Graph Signals
A Bayesian model using IGMRF smoothness prior and spike-and-slab outlier prior detects node-level outliers in graph signals while providing posterior probability estimates via Gibbs sampling.