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**11**.

## Article

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 0195-6701

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

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

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 1364-5021

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

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

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

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

**Fri Aug 18 17:59:51 2017 BST**.