Books and Book Chapters

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. A. (2018).  High dimensional ABC. Handbook of Approximate Bayesian Computation.
Sisson, S. A., 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., Dey D., & Yan J. (2016).  Extreme Value Modelling and Risk Analysis. 281-306.
Grolemund, G., & Wickham H. (2016).  R for Data Science. Import, tidy, transform, visualize, and model data.
Hall, P., Denker M., & Waymire E. C. (2016).  Rabi N. Bhattacharya: Selected Papers. 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., Upadhyay S.K., Singh U., Dey D.K., et al. (2015).  Current Trends in Bayesian Methodology with Applications. 287-310.
Jarrad, F., Low-Choy S., Mengersen KL., Jarrad F., Low-Choy S., & Mengersen KL. (2015).  Biosecurity Surveillance: Quantitative Approaches.
Johnson, S., Mengersen KL., Ormsby M., Whittle P., Jarrad F., Low-Choy S., et al. (2015).  Biosecurity Surveillance: Quantitative Approaches. 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., & Schmidt V. (2015).  Stochastic Geometry, Spatial Statistics and Random Fields. 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., Nikles J., & Mitchell G. (2015).  The Essential Guide to N-of-1 Trials in Health. 135-153.
Mengersen, KL., McGree J., Nikles J., & Mitchell G. (2015).  The Essential Guide to N-of-1 Trials in Health. 211-231.
Mittnty, M., Whittle P., Burgman P., Mengersen KL., Jarrad F., Low-Choy S., et al. (2015).  Biosecurity Surveillance: Quantitative Approaches. 137-150.
Murray, J., Whittle P., Jarrad F., Barrett S., Stoklosa R., Mengersen KL., et al. (2015).  The Essential Guide to N-of-1 Trials in Health. 203-216.
Quinlan, M., Stanaway M., Mengersen KL., Nikles J., & Mitchell G. (2015).  The Essential Guide to N-of-1 Trials in Health. 9-42.
Rubenstein, J.H., Rubenstein B.I.P., Bartlett P.L., Vovk V., Papadopoulos H., & Gammerman A. (2015).  Measures of Complexity: Festschrift of Alexey Chervonenkis. 303-325. doi: 10.1007/978-3-319-21852-6
Sun, C., Bednarz T., Pham T.D., Vallotton P., Wang D., Billingsley J., et al. (2015).  Machine Vision and Mechatronics in Practice. 39-48. doi: 10.1007/978-3-662-45514-2
Sun, C., Bednarz T., Pham T. D., Vallotton P., Wang D., Sun C., et al. (2015).  Advances in Experimental Medicine and Biology 823. 191-205. doi: 10.1007/978-3-319-10984-8
Sun, C., Bednarz T., Pham T.D., Vallotton P., Wang D., Sun C., et al. (2015).  Signal and Image Analysis for Biomedical and Life Sciences. Advances in Experimental Medicine and Biology.
van Havre, Z., Whittle P., Jarrad F., Low-Choy S., & Mengersen KL. (2015).  Biosecurity surveillance: quantitative approaches. 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.
Green Acorn