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2009
Renshaw, E. and Comas, C. (2009) Space-time generation of high intensity patterns using growth-interaction processes. Statistics and Computing, 19 (4). pp. 423-437.
Renshaw, E. and Comas, C. and Mateu, J. (2009) Analysis of forest thinning strategies through the development of space-time growth-interaction simulation models. Stochastic Environmental Research and Risk Assessment, 23 (3). pp. 275-288. ISSN 1436-3240
Starr, J.M. and Campbell, A. and Renshaw, E. and Poxton, I.R. and Gibson, G.J. (2009) Spatio-temporal stochastic modelling of clostridium difficile. Journal of Hospital Infection, 71 (1). pp. 49-56. ISSN 1532-2939
2008
Gillespie, C.S. and Renshaw, E. (2008) The evolution of a single-paired immigration death process. Journal of Physics A: Mathematical and Theoretical, 41 (35). p. 355002. ISSN 1751-8113
2007
Renshaw, E. and Mateu, J. and Saura, F. (2007) Disentangling mark/point interaction in marked-point processes. Computational Statistics and Data Analysis, 51 (6). pp. 3123-3144. ISSN 0167-9473
2005
Gillespie, C. and Renshaw, E. (2005) The evolution of a batch-immigration death process subject to counts. Proceedings A: Mathematical, Physical and Engineering Sciences, 461 (2057). pp. 1563-1581. ISSN 1471-2962
2004
Chen, A. and Renshaw, E. (2004) Markovian bulk-arriving queues with state-dependent control at idle time. Advances in Applied Probability, 36. pp. 499-524. ISSN 0001-8678
2003
Mao, Xuerong and Sabanis, Sotirios and Renshaw, Eric (2003) Asymptotic behaviour of the stochastic Lotka-Volterra model. Journal of Mathematical Analysis and Applications, 287 (1). pp. 141-156. ISSN 0022-247X
2002
Mao, Xuerong and Marion, Glenn and Renshaw, Eric (2002) Environmental Brownian noise suppresses explosions in population dynamics. Stochastic Processes and their Applications, 97 (1). pp. 95-110. ISSN 0304-4149
Renshaw, E. (2002) Two-dimensional spectral analysis for marked point processes. Biometrical Journal, 44 (6). pp. 718-745. ISSN 0323-3847
2001
Renshaw, E. and Sarkka, A. (2001) Gibbs point processes for studying the development of spatial-temporal stochastic processes. Computational Statistics and Data Analysis, 36 (1). pp. 85-105. ISSN 0167-9473