Nicholas A. Heard

Orcid: 0000-0002-8767-0810

Affiliations:
  • Imperial College London, Department of Mathematics, UK
  • University of Bristol, Heilbronn Institute for Mathematical Research, UK


According to our database1, Nicholas A. Heard authored at least 31 papers between 2004 and 2023.

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Bibliography

2023
Mutually Exciting Point Process Graphs for Modeling Dynamic Networks.
J. Comput. Graph. Stat., January, 2023

Unsupervised attack pattern detection in honeypot data using Bayesian topic modelling.
CoRR, 2023

2022
Standardized Partial Sums and Products of <i>p</i>-Values.
J. Comput. Graph. Stat., January, 2022

Spectral Clustering on Spherical Coordinates Under the Degree-Corrected Stochastic Blockmodel.
Technometrics, 2022

Latent structure blockmodels for Bayesian spectral graph clustering.
Stat. Comput., 2022

Changepoint detection in non-exchangeable data.
Stat. Comput., 2022

2021
Link prediction in dynamic networks using random dot product graphs.
Data Min. Knowl. Discov., 2021

Mutually exciting point process graphs for modelling dynamic networks.
CoRR, 2021

2020
Nonparametric self-exciting models for computer network traffic.
Stat. Comput., 2020

Bayesian estimation of the latent dimension and communities in stochastic blockmodels.
Stat. Comput., 2020

Classification of periodic arrivals in event time data for filtering computer network traffic.
Stat. Comput., 2020

Graph link prediction in computer networks using Poisson matrix factorisation.
CoRR, 2020

2018
Time of Day Anomaly Detection.
Proceedings of the European Intelligence and Security Informatics Conference, 2018

2017
Detecting Periodic Subsequences in Cyber Security Data.
Proceedings of the European Intelligence and Security Informatics Conference, 2017

2016
Convergence of Monte Carlo distribution estimates from rival samplers.
Stat. Comput., 2016

Poisson factorization for peer-based anomaly detection.
Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016

Disassortativity of computer networks.
Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016

Model-based clustering and new edge modelling in large computer networks.
Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016

Network-wide anomaly detection via the Dirichlet process.
Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016

Topic modelling of authentication events in an enterprise computer network.
Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016

2014
Three Statistical Approaches to Sessionizing Network Flow Data.
Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014

Modelling New Edge Formation in a Computer Network through Bayesian Variable Selection.
Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014

Statistical Frameworks for Detecting Tunnelling in Cyber Defence Using Big Data.
Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014

Filtering Automated Polling Traffic in Computer Network Flow Data.
Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014

Application of a Linear Time Method for Change Point Detection to the Classification of Software.
Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014

Detecting Localised Anomalous Behaviour in a Computer Network.
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

2013
Dynamic Bayesian Clustering.
J. Bioinform. Comput. Biol., 2013

2012
On two-way Bayesian agglomerative clustering of gene expression data.
Stat. Anal. Data Min., 2012

2009
Dissecting the fission yeast regulatory network reveals phase-specific control elements of its cell cycle.
BMC Syst. Biol., 2009

2007
A Review of Anomaly Detection on Graphs.
Proceedings of the Mining Massive Data Sets for Security, 2007

2004
Pattern Discovery Tools for Detecting Cheating in Student Coursework.
Proceedings of the Local Pattern Detection, 2004


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