Books and Book Chapters

Błaszczyszyn, B., Haenggi M., Keeler H., & Mukherjee S. (2018).  Stochastic Geometry Analysis of Cellular Networks. doi: 10.1017/9781316677339
Drovandi, C. C. (2018).  ABC and Indirect Inference. Handbook of Approximate Bayesian Computation.
Drovandi, C. C., Grazian C., Mengersen K., & Robert C. (2018).  Approximating the Likelihood in ABC. Handbook of Approximate Bayesian Computation.
Fan, Y., & Sisson S. (2018).  ABC Samplers. Handbook of Approximate Bayesian Computation. 87-123.
Fan, Y., Meikle S.. R., Angelis G.., & Sitek A.. (2018).  ABC in nuclear imaging. Handbook of Approximate Bayesian Computation.
Gertsbakh, I. B., Shpungin Y., & Vaisman R. (2018).  Reliability of a Network with Heterogeneous Components. (Lisnianski, A., Frenkel I., & Karagrigoriou A., Ed.).Recent Advances in Multi-state Systems Reliability. 3 - 18. doi: 10.1007/978-3-319-63423-4_1
Nott, D. J., Ong V. M. - H., Fan Y., & Sisson S. (2018).  High-dimensional approximate Bayesian computation. Handbook of Approximate Bayesian Computation. 211-241.
Nott, D. J., Ong V.. M. - H., Fan Y., & Sisson S. (2018).  High dimensional ABC. Handbook of Approximate Bayesian Computation.
Paam, P.., Berretta R.., & Heydar M. (2018).  An Integrated Loss-Based Optimization Model for Apple Supply Chain. Operations Research Proceedings 2017. 663 - 669. doi: 10.1007/978-3-319-89920-6,10.1007/978-3-319-89920-6_88
Rodrigues, G. S., Francis A. R., Sisson S., & Tanaka M. M. (2018).  Inferences on the acquisition of multi drug resistance in Mycobacterium tuberculosis using molecular epidemiological data. Handbook of Approximate Bayesian Computation. 481-511.
Sisson, S., Fan Y., & Beaumont M. A. (2018).  Handbook of Approximate Bayesian Computation.
Sisson, S., Fan Y., & Beaumont M. A. (2018).  Overview of approximate Bayesian computation. Handbook of Approximate Bayesian Computation. 3-54.
Sisson, S., Fan Y., & beaumont M.. A. (2018).  Overview of Approximate Bayesian computation. Handbook of Approximate Bayesian Computation.
Ye, N., Roosta-Khorasani F., & Cui T. (2018).  Optimization Methods for Inverse Problems. Computational Inverse Problems.
Erhardt, R., & Sisson S. (2016).  Extreme Value Modelling and Risk Analysis. (Dey, D., & Yan J., Ed.). 281-306.
Grolemund, G., & Wickham H. (2016).  R for Data Science. Import, tidy, transform, visualize, and model data.
Hall, P. (2016).  Rabi N. Bhattacharya: Selected Papers. (Denker, M., & Waymire E. C., Ed.). 3-13. doi: 10.1007/978-3-319-30190-7_1
Moore, D. F. (2016).  Applied Survival Analysis Using R.
Rubinstein, R. Y., & Kroese D. (2016).  Simulation and the Monte Carlo Methods, 3rd Edition. 1-432.
Steponavič\.e, I., Shirazi-Manesh M., Hyndman R. J., Smith-Miles K., Villanova L., Pardalos P.. M., et al. (2016).  On sampling methods for costly multi-objective black-box optimization. Advances in Stochastic and Deterministic Global Optimization. 273–296.
Geweke, J., Durham G., & Xu H. (2015).  Current Trends in Bayesian Methodology with Applications. (Upadhyay, S.K., Singh U., Dey D.K., & Loganathan A., Ed.). 287-310.
Jarrad, F., Low-Choy S., & Mengersen KL. (2015).  Biosecurity Surveillance: Quantitative Approaches. (Jarrad, F., Low-Choy S., & Mengersen KL., Ed.).
Johnson, S., Mengersen KL., Ormsby M., & Whittle P. (2015).  Biosecurity Surveillance: Quantitative Approaches. (Jarrad, F., Low-Choy S., & Mengersen KL., Ed.). 278-295.
Johnson, S., Mengersen KL., Ormsby M., Whittle P., Jarrad F., Low-Choy S., et al. (2015).  Using Bayesian networks to model surveillance in complex plant and animal health systems. Biosecurity Surveillance - Quantitative Approaches. 278–295. doi: 10.1079/9781780643595.0000
Kroese, D., & Botev Z.I. (2015).  Stochastic Geometry, Spatial Statistics and Random Fields. (Schmidt, V., Ed.). 369-404. doi: 10.1007/978-3-319-10064-7
Luke, D. (2015).  A User's Guide to Network Analysis in R.
Mengersen, KL., & McGree J. (2015).  The Essential Guide to N-of-1 Trials in Health. (Nikles, J., & Mitchell G., Ed.). 135-153.
Mengersen, KL., & McGree J. (2015).  The Essential Guide to N-of-1 Trials in Health. (Nikles, J., & Mitchell G., Ed.). 211-231.
Mittnty, M., Whittle P., Burgman P., & Mengersen KL. (2015).  Biosecurity Surveillance: Quantitative Approaches. (Jarrad, F., Low-Choy S., & Mengersen KL., Ed.). 137-150.
Murray, J., Whittle P., Jarrad F., Barrett S., Stoklosa R., & Mengersen KL. (2015).  The Essential Guide to N-of-1 Trials in Health. (Nikles, J., & Mitchell G., Ed.). 203-216.
Quinlan, M., Stanaway M., & Mengersen KL. (2015).  The Essential Guide to N-of-1 Trials in Health. (Nikles, J., & Mitchell G., Ed.). 9-42.
Rubenstein, J.H., Rubinstein B.I.P., & Bartlett P.L. (2015).  Measures of Complexity: Festschrift of Alexey Chervonenkis. (Vovk, V., Papadopoulos H., & Gammerman A., Ed.). 303-325. doi: 10.1007/978-3-319-21852-6
Sun, C., Bednarz T., Pham T.D., Vallotton P., & Wang D. (2015).  Machine Vision and Mechatronics in Practice. (Billingsley, J., & Brett P., Ed.). 39-48. doi: 10.1007/978-3-662-45514-2
Sun, C., Bednarz T., Pham T. D., Vallotton P., & Wang D. (2015).  Advances in Experimental Medicine and Biology 823. (Sun, C., Bednarz T., Pham T. D., Vallotton P., & Wang D., Ed.). 191-205. doi: 10.1007/978-3-319-10984-8
Sun, C., Bednarz T., Pham T.D., Vallotton P., & Wang D. (2015).  Signal and Image Analysis for Biomedical and Life Sciences. Advances in Experimental Medicine and Biology. (Sun, C., T B., Pham T., Vallotton T.D., & Wang D., Ed.).
van Havre, Z., & Whittle P. (2015).  Biosecurity surveillance: quantitative approaches. (Jarrad, F., Low-Choy S., & Mengersen KL., Ed.). 123-133. doi: 10.1079/9781780643595.0000
Wickham, H. (2015).  R Packages.
Cortez, P. (2014).  Modern Optimization with R.
Kolaczyk, E. D., & Csárdi G. (2014).  Statistical Analysis of Network Data with R.
Nagarajan, R., Scutari M., & Lèbre S. (2014).  Bayesian Networks in R. with Applications in Systems Biology.
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