165 citations · 348 across the 18 of their papers we have counts for
4 papers · 1 filter
Changepoint detection in non-exchangeable data
Karl L. Hallgren, Nicholas A. Heard, Niall M. Adams
Changepoint models typically assume the data within each segment are independent and identically distributed conditional on some parameters which change across segments. This const…
Latent structure blockmodels for Bayesian spectral graph clustering
Francesco Sanna Passino, Nicholas A. Heard
Spectral embedding of network adjacency matrices often produces node representations living approximately around low-dimensional submanifold structures. In particular, hidden subst…
Mutually exciting point process graphs for modelling dynamic networks
Francesco Sanna Passino, Nicholas A. Heard
A new class of models for dynamic networks is proposed, called mutually exciting point process graphs (MEG). MEG is a scalable network-wide statistical model for point processes wi…
Changepoint detection on a graph of time series
Karl L. Hallgren, Nicholas A. Heard, Melissa J. M. Turcotte
When analysing multiple time series that may be subject to changepoints, it is sometimes possible to specify a priori, by means of a graph, which pairs of time series are likely to…