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ORCIDNicholas A. Heard
Person information
- affiliation: Imperial College London, Department of Mathematics, UK
- affiliation: University of Bristol, Heilbronn Institute for Mathematical Research, UK
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2020 – today
- 2023
[j13]Francesco Sanna Passino, Nicholas A. Heard
:
Mutually Exciting Point Process Graphs for Modeling Dynamic Networks. J. Comput. Graph. Stat. 32(1): 116-130 (2023)- [i7]Francesco Sanna Passino, Anastasia Mantziou, Daniyar Ghani, Philip Thiede, Ross Bevington, Nicholas A. Heard:
Unsupervised attack pattern detection in honeypot data using Bayesian topic modelling. CoRR abs/2301.02505 (2023) - 2022
- [j12]Nicholas A. Heard:
Standardized Partial Sums and Products of p-Values. J. Comput. Graph. Stat. 31(1): 563-573 (2022) - [j11]Francesco Sanna Passino, Nicholas A. Heard:
Latent structure blockmodels for Bayesian spectral graph clustering. Stat. Comput. 32(2): 22 (2022) - [j10]Karl L. Hallgren, Nicholas A. Heard, Niall M. Adams:
Changepoint detection in non-exchangeable data. Stat. Comput. 32(6): 110 (2022) - [j9]Francesco Sanna Passino, Nicholas A. Heard, Patrick Rubin-Delanchy:
Spectral Clustering on Spherical Coordinates Under the Degree-Corrected Stochastic Blockmodel. Technometrics 64(3): 346-357 (2022) - 2021
- [j8]Francesco Sanna Passino, Anna S. Bertiger, Joshua C. Neil, Nicholas A. Heard:
Link prediction in dynamic networks using random dot product graphs. Data Min. Knowl. Discov. 35(5): 2168-2199 (2021) - [i6]Francesco Sanna Passino, Nicholas A. Heard:
Mutually exciting point process graphs for modelling dynamic networks. CoRR abs/2102.06527 (2021) - [i5]Francesco Sanna Passino, Nicholas A. Heard:
Latent structure blockmodels for Bayesian spectral graph clustering. CoRR abs/2107.01734 (2021) - 2020
- [j7]Matthew Price-Williams, Nicholas A. Heard:
Nonparametric self-exciting models for computer network traffic. Stat. Comput. 30(2): 209-220 (2020) - [j6]Francesco Sanna Passino, Nicholas A. Heard:
Classification of periodic arrivals in event time data for filtering computer network traffic. Stat. Comput. 30(5): 1241-1254 (2020) - [j5]Francesco Sanna Passino, Nicholas A. Heard:
Bayesian estimation of the latent dimension and communities in stochastic blockmodels. Stat. Comput. 30(5): 1291-1307 (2020) - [i4]Francesco Sanna Passino, Melissa J. M. Turcotte, Nicholas A. Heard:
Graph link prediction in computer networks using Poisson matrix factorisation. CoRR abs/2001.09456 (2020) - [i3]Francesco Sanna Passino, Nicholas A. Heard, Patrick Rubin-Delanchy:
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel. CoRR abs/2011.04558 (2020)
2010 – 2019
- 2019
- [i2]Francesco Sanna Passino, Nicholas A. Heard:
Bayesian estimation of the latent dimension and communities in stochastic blockmodels. CoRR abs/1904.05333 (2019) - [i1]Francesco Sanna Passino, Anna S. Bertiger, Joshua C. Neil, Nicholas A. Heard:
Link prediction in dynamic networks using random dot product graphs. CoRR abs/1912.10419 (2019) - 2018
- [c15]Matthew Price-Williams, Melissa J. Turcotte, Nick Heard:
Time of Day Anomaly Detection. EISIC 2018: 1-6 - 2017
- [c14]Matthew Price-Williams, Nick Heard, Melissa J. Turcotte:
Detecting Periodic Subsequences in Cyber Security Data. EISIC 2017: 84-90 - 2016
- [j4]Nicholas A. Heard, Melissa J. Turcotte:
Convergence of Monte Carlo distribution estimates from rival samplers. Stat. Comput. 26(6): 1147-1161 (2016) - [c13]Silvia Metelli, Nicholas A. Heard:
Model-based clustering and new edge modelling in large computer networks. ISI 2016: 91-96 - [c12]Nick Heard, Konstantina Palla, Maria Skoularidou:
Topic modelling of authentication events in an enterprise computer network. ISI 2016: 190-192 - [c11]Melissa J. Turcotte, Juston S. Moore, Nick Heard, Aaron McPhall:
Poisson factorization for peer-based anomaly detection. ISI 2016: 208-210 - [c10]Nick Heard, Patrick Rubin-Delanchy:
Network-wide anomaly detection via the Dirichlet process. ISI 2016: 220-224 - [c9]Patrick Rubin-Delanchy, Niall M. Adams, Nicholas A. Heard:
Disassortativity of computer networks. ISI 2016: 243-247 - 2014
- [c8]Melissa J. Turcotte, Nicholas A. Heard, Joshua Neil:
Detecting Localised Anomalous Behaviour in a Computer Network. IDA 2014: 321-332 - [c7]Patrick Rubin-Delanchy, Daniel J. Lawson, Melissa J. Turcotte, Nicholas A. Heard, Niall M. Adams:
Three Statistical Approaches to Sessionizing Network Flow Data. JISIC 2014: 244-247 - [c6]Daniel J. Lawson, Patrick Rubin-Delanchy, Nicholas A. Heard, Niall M. Adams:
Statistical Frameworks for Detecting Tunnelling in Cyber Defence Using Big Data. JISIC 2014: 248-251 - [c5]Nick Heard, Patrick Rubin-Delanchy, Daniel J. Lawson:
Filtering Automated Polling Traffic in Computer Network Flow Data. JISIC 2014: 268-271 - [c4]Silvia Metelli, Nicholas A. Heard:
Modelling New Edge Formation in a Computer Network through Bayesian Variable Selection. JISIC 2014: 272-275 - [c3]Alexander Bolton, Nicholas A. Heard:
Application of a Linear Time Method for Change Point Detection to the Classification of Software. JISIC 2014: 292-295 - 2013
- [j3]Anna Fowler, Vilas Menon, Nicholas A. Heard:
Dynamic Bayesian Clustering. J. Bioinform. Comput. Biol. 11(5) (2013) - 2012
- [j2]Anna Fowler, Nicholas A. Heard:
On two-way Bayesian agglomerative clustering of gene expression data. Stat. Anal. Data Min. 5(5): 463-476 (2012)
2000 – 2009
- 2009
- [j1]Pierre R. Bushel, Nicholas A. Heard, Roee Gutman, Liwen Liu, Shyamal D. Peddada, Saumyadipta Pyne:
Dissecting the fission yeast regulatory network reveals phase-specific control elements of its cell cycle. BMC Syst. Biol. 3: 93 (2009) - 2007
- [c2]Kiriaki Platanioti, Nicholas A. Heard, David J. Hand:
A Review of Anomaly Detection on Graphs. NATO ASI Mining Massive Data Sets for Security 2007: 212-213 - 2004
- [c1]David J. Hand, Niall M. Adams, Nick A. Heard:
Pattern Discovery Tools for Detecting Cheating in Student Coursework. Local Pattern Detection 2004: 39-52
Coauthor Index
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