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math.ST2025
Multiscale Localized Inference for Networks with a Measured Vertex Coordinate
Marios Papamichalis, Regina Ruane
In many networks each vertex has a position measured from outside the network: a neuron's location along the body axis, a residue's index along a protein sequence, a genomic bin's…
math.ST2025
Graphon-Level Bayesian Predictive Synthesis for Random Network
Marios Papamichalis, Regina Ruane
Analysts often fit several models to the same network. Each estimates a graphon, the function giving the probability of a link between two nodes. Reporting one predictive graphon m…
math.ST2025
Decomposing Degree Assortativity in Sparse Spatial Networks
Marios Papamichalis, Regina Ruane
Spatial networks are typically assortative: well-connected nodes link to other well-connected nodes, and the usual reading is sorting, popular nodes seeking each other out. In spac…