MHT-GGSP models spatially and temporally varying p-value distributions with a bandlimited generalized graph signal and thresholds local false discovery rates to control FDR.
On large-scale multiple testing over networks: An asymptotic approach,
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A Generalized Graph Signal Processing Framework for Multiple Hypothesis Testing over Networks
MHT-GGSP models spatially and temporally varying p-value distributions with a bandlimited generalized graph signal and thresholds local false discovery rates to control FDR.