Patrick Rubin-Delanchy

Patrick Rubin-Delanchy

Data Science, machine-learning, networks, anomaly detection, cyber-security

I hold a Heilbronn Research fellowship in Statistics. My research focusses on developing statistical theory and methodology for machine-learning and data science. A specific interest is modelling and anomaly detection for networks and point processes, as seen in fields that generate Big Data. Two applications I have focussed on are cyber-security and super-resolution microscopy.

Publications

2016

  • P. Rubin-Delanchy, D. J. Lawson, N. A. Heard, Anomaly detection for cyber-security applications, in Dynamic Networks and Cybersecurity, London: World Scientific, 2016.
  • P. Rubin-Delanchy, N. A. Heard, On the mid-p-value of a test statistic with arbitrary real support, arXiv preprint:1505.05068, 2016.
  • J. Griffié, M. Shannon, C. L. Bromley, L. Boelen, G. L. Burn, D. J. Williamson, N. A. Heard, A. P. Cope, D. M. Owen, P. Rubin-Delanchy, A Bayesian cluster analysis method for single-molecule localization microscopy data, Nature Protocols, vol. 11, 2499–2514, 2016.
  • P. Rubin-Delanchy, N. M. Adams, N. A. Heard, Disassortivity of computer networks, in Proceedings of IEEE workshop on Big Data Analytics for Cyber-security Computing, 2016.
  • N. A. Heard, P. Rubin-Delanchy, Network-wide anomaly detection via the Dirichlet process, in Proceedings of IEEE workshop on Big Data Analytics for Cyber-security Computing, 2016.

2015

  • P. Rubin-Delanchy, G. L. Burn, J. Griffié, D. J. Williamson, N. A. Heard, A. P. Cope, D. M. Owen, Bayesian cluster identification in single-molecule localization microscopy data, Nature methods, vol. 12, 1072–1076, 2015.
  • P. Rubin-Delanchy, D. J. Lawson, Posterior predictive p-values and the convex order, arXiv preprint:1412.3442, 2015.

2014

  • P. Rubin-Delanchy, N. A. Heard, A test for dependence between two point processes on the real line, arXiv preprint:1408.3845, 2014.
  • P. Rubin-Delanchy, D. J. Lawson, M. J. Turcotte, N. A. Heard, N. M. Adams, Three statistical approaches to sessionizing network flow data, in Proceedings of the IEEE Joint Intelligence and Security Informatics Conference (JISIC), 2014.
  • N. A. Heard, D. J. Lawson, P. Rubin-Delanchy, Filtering automated polling traffic in computer network flow data, in Proceedings of the IEEE Joint Intelligence and Security Informatics Conference (JISIC), 2014.
  • D. J. Lawson, P. Rubin-Delanchy, N. A. Heard, N. M. Adams, Statistical frameworks for detecting tunnelling in cyber defence using Big Data, in Proceedings of the IEEE Joint Intelligence and Security Informatics Conference (JISIC), 2014.

2013

  • A. Gandy, P. Rubin-Delanchy, An algorithm to compute the power of Monte Carlo tests with guaranteed precision, The Annals of Statistics, vol. 41, no. 1, 125–142, 2013.