5 papers · 1 filter
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…
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…
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…
State-Space Modeling of Time-Varying Spillovers on Networks
Marios Papamichalis, Regina Ruane, Theofanis Papamichalis
Crime counts in city neighbourhoods, disease counts in counties, and sales at firms joined by trade are naturally represented as counts on the nodes of a network. In each case a hi…
Radial Compensation: The Inverse Base-Distribution Problem for Chart-Based Generative Models on Riemannian Manifolds
Marios Papamichalis, Regina Ruane
Latent-variable models on spheres and hyperbolic spaces usually draw a Gaussian in the tangent space at a base point and push it onto the manifold. On these spaces the distance fro…