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.