165 citations · 348 across the 18 of their papers we have counts for
20 papers
Hierarchical excitatory processes for modelling event-time data in the presence of exogenous stimuli
Francesco Sanna Passino, Nicholas A. Heard, Jeffrey W. Brown +2
We introduce the Hierarchical Excitatory Process (HEP), a flexible point process model for event-time data observed under repeated external stimuli. The proposed framework models t…
Multiresolution Analysis and Statistical Thresholding on Dynamic Networks
Raphaël Romero, Tijl De Bie, Nick Heard +1
Detecting structural change in dynamic network data has wide-ranging applications. Existing approaches typically divide the data into time bins, extract network features within eac…
Approximate learning of parsimonious Bayesian context trees
Daniyar Ghani, Nicholas A. Heard, Francesco Sanna Passino
Models for categorical sequences typically assume exchangeable or first-order dependent sequence elements. These are common assumptions, for example, in models of computer malware…
Nested Dirichlet models for unsupervised attack pattern detection in honeypot data
Francesco Sanna Passino, Anastasia Mantziou, Daniyar Ghani +3
Cyber-systems are under near-constant threat from intrusion attempts. Attacks types vary, but each attempt typically has a specific underlying intent, and the perpetrators are typi…
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…