6 citations · 9 across the 9 of their papers we have counts for
3 papers · 1 filter
Bayesian modelling and computation utilising directed cycles in multiple network data
Anastasia Mantziou, Sally Keith, David M. P. Jacoby +2
Modelling multiple network data is crucial for addressing a wide range of applied research questions. However, there are many challenges, both theoretical and computational, to add…
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…
Bayesian model-based clustering for populations of network data
Anastasia Mantziou, Simon Lunagomez, Robin Mitra
There is increasing appetite for analysing populations of network data due to the fast-growing body of applications demanding such methods. While methods exist to provide readily i…