1 citations · 2 across the 5 of their papers we have counts for
5 papers
Wrapped Distributions on homogeneous Riemannian manifolds
Fernando Galaz-Garcia, Marios Papamichalis, Kathryn Turnbull +2
We provide a general framework for constructing probability distributions on Riemannian manifolds, taking advantage of area-preserving maps and isometries. Control over distributio…
Sequential Estimation of Temporally Evolving Latent Space Network Models
Kathryn Turnbull, Christopher Nemeth, Matthew Nunes +1
In this article we focus on dynamic network data which describe interactions among a fixed population through time. We model this data using the latent space framework, in which th…
Latent Space Network Modelling with Hyperbolic and Spherical Geometries
Marios Papamichalis, Kathryn Turnbull, Simon Lunagomez +1
A rich class of network models associate each node with a low-dimensional latent coordinate that controls the propensity for connections to form. Models of this type are well estab…
Gaussian Processes on Hypergraphs
Thomas Pinder, Kathryn Turnbull, Christopher Nemeth +1
We derive a Matern Gaussian process (GP) on the vertices of a hypergraph. This enables estimation of regression models of observed or latent values associated with the vertices, in…
Latent Space Modelling of Hypergraph Data
Kathryn Turnbull, Simón Lunagómez, Christopher Nemeth +1
The increasing prevalence of relational data describing interactions among a target population has motivated a wide literature on statistical network analysis. In many applications…