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 Browse by Research Fields, Courses and Disciplines The Research Fields, Courses and Disciplines (Australian Standard Research Classification) is published by the Australian Bureau of Statistics (ABS catalogue number 1297.0) 1998. ABS data is used with permission from the Australian Bureau of Statistics -> 230000 Mathematical Sciences -> 230200 Statistics -> 230202 Stochastic Analysis and Modelling :

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Burrage, Kevin, Mac, Shev and Tian, Tianhai (2006). Accelerated leap methods for simulating discrete stochastic chemical kinetics. In: Christian Commault and Nicholas Marchand, Lecture Notes in Control and Information Sciences: 2nd Multidisciplinary International Symposium on Positive Sys. 2nd Multidisciplinary International Symposium on Positive Sys, Grenoble, France, (359-366). 30 August -1 September, 2006. doi:10.1007/11757344_46 200   3 Cited 3 times in Scopus3 0
Cairns, B. J., Ross, J. V. and Taimre, T. (2007) A comparison of models for predicting population persistence. Ecological Modelling, 201 1: 19-26. doi:10.1016/j.ecolmodel.2006.07.018 105   9 Cited 8 times in Scopus8 0
De Boer, P. T., Kroese, D. P. and Rubinstein, R. Y. (2004) A fast cross-entropy method for estimating buffer overflows in queuing networks. Management Science, 50 7: 883-895. doi:10.1287/mnsc.1030.0139 139 17 13 Cited 20 times in Scopus20 0
Sadegh, Payman, Concha, Julio, Stricevic, Slaven, Thompson, Adrian and Kootsookos, Peter (2006). A Framework for Unified Design of Fault Detection and Isolation and Optimal Maintenance Policies. In: American Control Conference, Minneapolis, Minnesota, USA, (). 14-16 June, 2006. 275 504
Zelniker, Emanuel E. and Clarkson, I. Vaughan L. (2004). A generalisation of the Delogne-Kasa method for fitting hyperspheres. In: K. Teague and S. Acton, Proceedings of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computing. The Thirty-Eighth Asilomar Conference on Signals, Systems and Computing, Pacific Grove, California, (2069-2073). 7-10 November, 2004. doi:10.1109/ACSSC.2004.1399530 85 141 0
Keith, Jonathan M., Kroese, Dirk P. and Bryant, Darryn (2004) A generalized Markov sampler. Methodology And Computing In Applied Probability, 6 1: 29-53. doi:10.1023/B:MCAP.0000012414.14405.15 70 38 15 Cited 17 times in Scopus17 0
Possingham, H. P. and Davies, I. (1995) ALEX: A Model For The Viability Analysis Of Spatially Structured Populations. Biological Conservation, 73 2: 143-150. doi:10.1016/0006-3207(95)00051-5 532 1450 81 0
El-Mahassni, E. D., Howard, S.D. and Clarkson, I.V.L. (2004). A Markov-chain model for sensor scheduling in electronic support. In: K. Teague and S. Acton, Proceedings of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computing. The Thirty-Eighth Asilomar Conference on Signals, Systems and Computing, Pacific Grove, California, (2183-2187). 7-10 November, 2004. 55  
Pollett, P. K. and Stefanov, V.T. (2003). A method for evaluating the distribution of the total cost of a random process over its lifetime. In: D.A. Post, Proceedings of the International Congress on Modelling and Simulation. International Congress on Modelling and Simulation, Townsville, Australia, (1863-1867). 14-17 July 2003. 48   0
Burgman, Mark A., Possingham, Hugh P., Lynch, A. Jasmyn, Keith, David A., McCarthy, Michael A., Hopper, Stephen D., Drury, Wendy L., Passioura, Jason A. and Devries, Robert J. (2001) A Method For Setting The Size Of Plant Conservation Target Areas. Conservation Biology, 15 3: 603-616. doi:10.1046/j.1523-1739.2001.015003603.x 500 920 47 Cited 51 times in Scopus51 0
Thompson, M. (2000) Analysis of a ring-based loss network. International Transactions in Operational Research, 7 4-5: 419-429. 41  
Thompson, M. (1999). Analysis of a ring-based loss network. In: E. Kozan, Operations Research from Theory to Real Life. 15th National Conference of the Aust. Society for Operations Research, Gold Coast, Aust., (1280-1289). 4-7 July, 1999. 35  
Lesmono, D., Tonkes, E. J. and Burrage, K. (2003) An early political election problem. The ANZIAM Journal Electronic Supplement, 45 Part C: 16-33. 36  
Pollett, PK and Thompson, MR (2003) A new method for analysing the equilibrium and time-dependent behaviour of Markovian models. Mathematical And Computer Modelling, 38 11-13: 1409-1418. doi:10.1016/S0895-7177(03)00355-8 49   0 Cited 0 times in Scopus0 0
Baxevani, Anastassia, Rychlik, Igor and Wilson, Richard J. (2005) A new method for modelling the space variability of significant wave height. Extremes, 8 4: 267-294. doi:10.1007/s10687-006-0002-2 72   Cited 16 times in Scopus16 0
Wu, Q.Y., Zhang, H. and Hou, Z.T. (2003) An extended birth-death Q-matrix with instantaneous state and catastrophes II. Chinese Annals of Mathematics. Series A, 24 5: 555-564. 48  
Diamond, P, Vladimirov, I, Kurdjukov, A and Semyonov, A (2001) Anisotropy-based performance analysis of linear discrete time invariant control systems. International Journal of Control, 74 1: 28-42. doi:10.1080/00207170150202661 51   15 Cited 29 times in Scopus29 0
Sofronov, G, Keith, JM and Kroese, DP (2006) An optimal sequential procedure for a buying-selling problem with independent observations. Journal of Applied Probability, 43 2: 454-462. doi:10.1239/jap/1152413734 42   1 Cited 2 times in Scopus2 0
Pollett, Phil K., Zhang, Hanjun J. and Cairns, Benjamin J. (2007) A note on extinction times for the general birth, death and catastrophe process. Journal of Applied Probability, 44 2: 566-569. doi:10.1239/jap/1183667423 90   2 Cited 1 times in Scopus1 0
Clancy, D and Pollett, PK (2003) A note on quasi-stationary distributions of birth-death processes and the SIS logistic epidemic. Journal of Applied Probability, 40 3: 821-825. doi:10.1239/jap/1059060909 72   10 Cited 12 times in Scopus12 0
Kroese, Dirk P., Rubinstein, Reuven Y. and Taimre, Thomas (2007) Application of the cross-entropy method to clustering and vector quantization. Journal of Global Optimization, 37 1: 137-157. doi:10.1007/s10898-006-9041-0 88   9 Cited 13 times in Scopus13 0
Kroese, D. P. and Hui, Kin-Ping (2007). Applications of the cross-entropy method in reliability. In Gregory Levitin (Ed.), Computational intelligence in reliability engineering. New metaheuristics, neural and fuzzy techniques in reliability (pp. 37-82) Berlin, Germany: Springer-Verlag. doi:10.1007/978-3-540-37372-8_3 51   Cited 2 times in Scopus2 0
Zelniker, Emanuel and Clarkson, Ian Vaughan L. (2004). Approximate Maximum-Likelihood Estimation Of Circle Parameters Using A Phase-Coded Kernel. In: F. Hlawatsch and G. Matz, Proceedings of the Seventh European Signal Processing Conference. The Seventh European Signal Processing Conference, Vienna, Austria, (617-620). 6-10 September, 2004. 577 991
Cairns, BJ and Pollett, F (2005) Approximating persistence in a general class of population processes. Theoretical Population Biology, 68 -: 77-90. doi:10.1016/j.tpb.2005.02.002 40   5 Cited 4 times in Scopus4 0
Clancy, D., O'Neill, P. D. and Pollett, P. K. (2001) Approximations for the long-term behaviour of an open-population epidemic model. Methodology and Computing in Applied Probability, 3 1: 75-95. 61  
Breyer, L. A. and Hart, A. G. (2000) Approximations of quasi-stationary distributions for Markov chains. Mathematical and Computer Modelling, 31 10-12: 69-79. doi:10.1016/S0895-7177(00)00073-X 46   6 Cited 7 times in Scopus7 0
Breyer, L. A. and Roberts, R. O. (1999) A quasi-ergodic theorem for evanescent processes. Stochastic Processes and their Applications, 84 2: 177-186. doi:10.1016/S0304-4149(99)00018-6 30   4 0
Goldingay, Ross and Possingham, Hugh (1995) Area Requirements For Viable Populations Of The Australian Gliding Marsupial Petaurus Australis. Biological Conservation, 73 2: 161-167. doi:10.1016/0006-3207(95)00053-7 415 1157 33 0
Thompson, M. and Pollett, P. K. (2001). A reduced load approximation accounting for link interactions in a loss network. In: Pearce, C. E. M., Operations Research in the Third Millenium, Proceedings of the 16th National Conference of the Australian Society for Operations Research. 16th National Conf. of the Aust.Soc. for Operations Research, McLarens On the Lake, McLaren Vale, Sth. Australia, (). 23 - 26 September 2001. 66  
Thompson, M.R. and Pollett, P. K. (2004) A reduced load approximation accounting for link interactions in a loss network. Journal of Applied Mathematics and Decision Sciences, 7 4: 229-248. doi:10.1155/S1173912603000191 87   Cited 1 times in Scopus1 0
Chen, A. Y., Pollett, P. K., Li, J. P. and Zhang, H. J. (2007) A remark on the uniqueness of weighted Markov branching processes. Journal of Applied Probability, 44 1: 279-283. doi:10.1239/jap/1175267178 82   0 Cited 1 times in Scopus1 0
Lindenmayer, David B., Burgman, M. A., Akcakaya, H. R., Lacy, R. C. and Possingham, H. P. (1995) A Review of the Generic Computer Programs ALEX, RAMAS/space and VORTEX for Modelling the Viability of Wildlife Metapopulations. Ecological Modelling, 82 2: 161-174. doi:10.1016/0304-3800(94)00085-V 471 1936 102 Cited 101 times in Scopus101 0
Lindenmayer, David B., McCarthy, Michael A., Possingham, Hugh P. and Legge, Sarah (2001) A Simple Landscape-Scale Test of a Spatially Explicit Population Model: Patch Occupancy in Fragmented South-Eastern Australian Forests. Oikos, 92 3: 445-458. doi:10.1034/j.1600-0706.2001.920306.x 410 578 14 0
Keith, Jonathan M., Adams, Peter, Bryant, Darryn, Kroese, Dirk P., Mitchelson, Keith R., Cochran, Duncan A. E. and Lala, Gita H. (2002) A simulated annealing algorithm for finding consensus sequences. Bioinformatics, 18 11: 1494-1499. doi:10.1093/bioinformatics/18.11.1494 80   24 Cited 26 times in Scopus26 0
McCarthy, Michael A., Lindenmayer, David B. and Possingham, Hugh P. (2001) Assessing Spatial PVA Models Of Arboreal Marsupials Using Significance Tests And Bayesian Statistics. Biological Conservation, 98 2: 191-200. doi:10.1016/S0006-3207(00)00154-3 489 583 14 Cited 16 times in Scopus16 0
Zelniker, Emanuel and Clarkson, Vaughan (2003). A Statistical Analysis Of Least-Squares Circle-Centre Estimation. In: A. Zoubir, Proceedings of the 2003 International Symposium on Signal Processing and Information Technology. The 2003 International Symposium on Signal Processing and Information Technology, Darmstadt, Germany, (). 14-17 December, 2003. 834 1899
Zelniker, Emanuel E. and Clarkson, I. Vaughan, L. (2006) A statistical analysis of the Delogne-Kasa method for fitting circles. Digital Signal Processing, 16 5: 498-522. doi:10.1016/j.dsp.2005.04.001 476 466 13 Cited 18 times in Scopus18 0
Ross, JV (2006) A stochastic metapopulation model accounting for habitat dynamics. Journal of Mathematical Biology, 52 6: 788-806. doi:10.1007/s00285-006-0372-8 48   19 Cited 18 times in Scopus18 0
Day, Jemery R. and Possingham, Hugh P. (1995) A Stochastic Metapopulation Model with Variability in Patch Size and Position. Theoretical Population Biology, 48 3: 333-360. doi:10.1006/tpbi.1995.1034 297 1568 94 Cited 92 times in Scopus92 0
Vladimirov, I. G. and Diamond, P. (2002) A uniform white-noise model for fixed-point roundoff errors in digital systems. Automation And Remote Control, 63 5: 753-765. doi:10.1023/A:1015493820232 44   1 Cited 1 times in Scopus1 0
Vladimirov, I G and Thompson, H B (2006). Bayesian forecasting in univariable autoregressive models with normal-gamma prior distribution of unknown parameters. In Ravi P Agarnal and Kanishka Perera (Ed.), Proceedings of the Conference on Differential & Difference Equations and Applications 1 ed. (pp. 1099-1108) USA: Hindawi. 124  
Lawrance, A. J. and Wolff, R. C. (2001). Binary and finer discretized time series generated by logistic chaotic maps. In: Y. Hayakawa, K. Nakajima and S. Sato, Proceedings of 2001 International Symposium on Nonlinear Theory and its Applications. Research Society of Nonlinear Theory and Its Applications, Miyagi, Japan, (473-476). 28 October - 1 November 2001. 48  
Chen, A., Zhang, H. J., Liu, K. and Rennolls, K. (2004) Birth-death processes with disaster and instantaneous resurrection. Advances In Applied Probability, 36 1: 267-292. doi:10.1239/aap/1077134473 93   1 Cited 1 times in Scopus1 0
Pollett, P. K. (1999). Bottlenecks in Markovian queueing networks. In: E. Kozan, Proceedings of the 15th National Conference of the Australian Society of Operations Research. 15th National Conference of the Australian Society for Operations Research, Gold Coast, Aust., (1047-1056). 4-7 July, 1999. 54  
Wagner, L. D., Ross, J. V. and Possingham, H. P. (2007) Catastrophe management and inter-reserve distance for marine reserve networks. Ecological Modelling, 201 1: 82-88. doi:10.1016/j.ecolmodel.2006.07.030 112   4 Cited 6 times in Scopus6 0
Ross, Joshua V. (2006) Comment on "On the regulation of populations of mammals, birds, fish, and insects" II. Science, 311 5764: 1100b-1-1100b-2. doi:10.1126/science.1121875 39   0 Cited 4 times in Scopus4 0
Faddy, M. J. and Wilson, R. J. (2000) Compartmental Modelling of Equipment subject to partial repair. Mathematical and Computer Modelling, 31 10-12: 115-120. doi:10.1016/S0895-7177(00)00078-9 42   0 0
Milner-Gulland, E. J., Shea, K., Possingham, H., Coulson, T. and Wilcox, C. (2001) Competing Harvesting Strategies In A Simulated Population Under Uncertainty. Animal Conservation, 4 2: 157-167. doi:10.1017/S1367943001001184 278 358 34 Cited 36 times in Scopus36 0
Sirl, D., Zhang, H. J. and Pollett, P. K. (2007) Computable bounds for the decay parameter of a birth-death process. Journal of Applied Probability, 44 2: 476-491. doi:10.1239/jap/1183667415 66   7 Cited 4 times in Scopus4 0
Costa, A., Jones, O. D. and Kroese, D. P. (2007) Convergence properties of the cross-entropy method for discrete optimization. Operations Research Letters, 35 5: 573-580. doi:10.1016/j.orl.2006.11.005 312   27 Cited 39 times in Scopus39 0

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