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  1. Group object structure and state estimation with evolving networks and Monte Carlo methods.

    Gning, A., Mihaylova, L., Maskell, S., Pang, S. & Godsill, S., 1/04/2011, In: IEEE Transactions on Signal Processing. 59, 4, p. 1383-1396 14 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Applications of branching processes to the final size of SIR epidemics

    Ball, F. & Neal, P. J., 22/01/2010, Workshop on Branching Processes and Their Applications . González Velasco, M., Puerto, I. M., Martínez, R., Molina, M., Mota, M. & Ramos, A. (eds.). Springer, p. 209-225 17 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  3. Group object structure and state estimation in the presence of measurement origin uncertainty.

    Mihaylova, L. & Gning, A., 2/09/2009, Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on. p. 473 - 476 4 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  4. Evolving networks for group object motion estimation

    Gning, A., Mihaylova, L., Maskell, S., Pang, S. K. & Godsill, S. J., 16/04/2008, IET Seminar on Target Tracking and Data Fusion: Algorithms and Applications, 2008. IEEE, p. 99-106 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review