1. Cope, R.C., Pollett, P.K., Lanyon, J.M. and Seddon, J.M. (2015) Indirect detection of genetic dispersal (movement and breeding events) through pedigree analysis of dugong populations in southern Queensland, Australia. Biological Conservation 181, 91-101. http://dx.doi.org/10.1016/j.biocon.2014.11.011
  2. Shah R., Hirsch C., Kroese D.P., and Schmidt, V. (2014). Rare event probability estimation for connectivity of large random graphs. Proceedings of the 2014 Winter Simulation Conference, A Tolks, S.D. Diallo, I.O, Ryzhov, L. Yilmaz, S. Buckley, and J.A. Miller, eds. (pdf). Accepted for publication.
  3.  Kroese D.P., Brereton T., Taimre T., and Botev, Z.I. (2014). Why the Monte Carlo Method is so important today. Wiley Interdisciplinary Reviews: Computational Statistics DOI: 10.1002/wics.1314 (pdf).
  4.  Duan Q., Kroese D.P., Brereton T., Spettl A., and Schmidt V. (2014). Inverting Laguerre Tessellations. The Computer Journal. DOI: 10.1093/comjnl/bxu029 (pdf).
  5.  Stenzel, O., Hirsch, C., Brereton T., Baumeier, B., Andrienko, D., Kroese, D.P., and Schmidt, V. (2014). A general framework for consistent estimation of charge transport properties via random walks in random environments. Multiscale Model. Simul. 12 (3), 1108–1134 (pdf).
  6.   Grace A.W., Kroese D.P., and Sandmann W. (2014). Automated state-dependent importance sampling for Markov jump processes via sampling from the zero-variance distribution. Journal of Applied Probability 51 (3) 741–755. (pdf)
  7.  Kroese, D.P. and Botev, Z.I. (2014). Spatial Process Generation. To appear in: V. Schmidt (Ed.). Lectures on Stochastic Geometry, Spatial Statistics and Random Fields, Volume II: Analysis, Modeling and Simulation of Complex Structures, Springer-Verlag, Berlin. arXiv: 1308.0399. (pdf)
  8. Vaisman, O. Strichman and I. B. Gertsbakh. Model counting of monotone CNF formulas with Spectra. INFORMS, Journal on Computing. (paper)
  9. Gertsbakh, Y. Shpungin and R. Vaisman, Ternary Networks: Reliability and Monte Carlo,  Springer Briefs in Electrical and Computer Engineering. (book
  10. McVinish and P.K. Pollett (2014) The limiting behaviour of Hanski’s incidence function metapopulation model, Journal of Applied Probability, 51(2): 297–316 January 2014
  11. A.G. Smith, R. McVinish and P.K. Pollett (2014) A model for a spatially structured metapopulation accounting for within patch dynamics, Mathematical Biosciences, 247(1): 69—79, January 2014