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    Department of Statistics

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    • Dr Adam Johansen »
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    University of Warwick

    Dr Adam Johansen

    Teaching

    Some generic teaching information -- applicable to my personal tutees and well as those attending my lectures is available from my teaching page. This year I will be lecturing parts of ST104 Statistical Laboratory and ST407 Monte Carlo Methods.
    Together with Ludger Evers, I lectured the graduate-level Monte Carlo Methods course at the University of Bristol in 2007. The lecture notes may still be of some use.

    Research

    Recent Advances in Sequential Monte Carlo, 2012

    A conference showcasing recent developments in SMC will be took place between 19th and 21st September, 2012 here at the University of Warwick: SMC-2012.

    Students and Collaborators

    Current interests include Monte Carlo methodology, particularly sequential methods together with Bayesian statistics and decision theory more generally.

    Current Ph.D. Students:

    • Axel Finke (co-supervisor Dario Spanò)
    • Thomas Honnor (co-supervisor Julia Brettschneider)
    • Murray Pollock (co-supervisor Gareth Roberts).
    • Matthew Thorpe (co-supervisor Florian Theil)
    • Yan Zhou (co-supervisor John Aston).

    I've also been having some interesting discussions with other people in the department, including

    • Christopher Nam (supervisor: John Aston).
    • Javier Rubio (supervisor: Mark Steel).

    Prospective Ph.D. students should feel free to email me to discuss possible research directions.

    Reading Group

    Currently reading Pierre Del Moral's "Feynman-Kac Formulae: Genealogical and Interacting Particle Systems".

    Publications

    (Pre)Publications to date are listed here. Selected recent additions are listed below.

    • Y. Zhou, A. M. Johansen and J. A. D. Aston, Towards Automatic Model Comparison: An Adaptive Sequential Monte Carlo Approach. CRiSM Working Paper 13-04, University of Warwick, March 2013. [ Abstract | .pdf | arxiv]
    • A. M. Johansen, N. Whiteley and A. Doucet. Exact approximation of Rao-Blackwellised particle filters. In Proceedings of 16th IFAC Symposium on Systems Identification. Brussels, July 2012. [pdf]
    • F. J. Rubio and A. M. Johansen. On Maximum Intractable Likelihood Estimation. CRiSM Working Paper 12-04, University of Warwick, March 2012. [ Abstract | .pdf]
    • A. Doucet and A. M. Johansen. A Tutorial on Particle filtering and smoothing: Fiteen years later. In Oxford Handbook of Nonlinear Filtering, 2011, D. Crisan and B. Rozovsky (eds.). Oxford University Press.
      [.pdf]
    • N. Whiteley, A. M. Johansen, and S. Godsill. Monte Carlo filtering of piecewise-deterministic processes. Journal of Computational and Graphical Statistics, 20(1):119-139, 2011. [Journal Version|.pdf]
    • A. Doucet, A. M. Johansen, and V. B. Tadić. On solving integral equations using Markov Chain Monte Carlo. Applied Mathematics and Computation 216:2869-2880, 2010. [.pdf]
    • A. M. Johansen. SMCTC: Sequential Monte Carlo in C++. Journal of Statistical Software, 30(6):1-41, April 2009.
      [Journal Version|Draft with line numbers for source code.]

      Software

      • SMCTC: A Sequential Monte Carlo Template Class (C++)
      • RcppSMC: An R interface to the above (currently version 0.10 with proof-of-concept functionality)
      Adam M. Johansen

      Adam M. Johansen

      C0.20 Zeeman Building

      024761- 50919

      a dot m dot johansen at warwick.ac.uk

      Location and Contact

      Close this email form
      Page contact: Paula Matthews Last revised: Thu 14 Mar 2013
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