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Graph-dependent shrinkage priors for Bayesian trend filtering

This story is from 2026-08-26. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2608.23802v1 Announce Type: cross Abstract: Many common data dependencies can be characterized by graphs: time series data are sequential (chain graph), images appear as pixels (lattice graph), areal data are defined by neighboring units (spatial adjacency graph), etc. Graph trend filtering s…

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  1. 2026-08-26 04:00 · arXiv stat.ML
    Graph-dependent shrinkage priors for Bayesian trend filtering

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