Books and Book Chapters
(2019). Wider contours and adaptive contours.
(Wood, D., de Gier J., Praeger C. E., & Tao T., Ed.).2017 MATRIX Annals. 2, 79-98. doi: 10.1007/978-3-030-04161-8_7
(2019). Optimization Methods for Inverse Problems.
(Wood, D., Ed.).2017 MATRIX Annals. doi: 10.1007/978-3-030-04161-8_9
(2018). Detection of Longitudinal Brain Atrophy Patterns Consistent with Progression Towards Alzheimer's Disease.
doi: 10.5204/thesis.eprints.118289
(2018). 2016 MATRIX Annals.
(de Gier, J., Praeger C. E., Wood D. R., & Tao T., Ed.).MATRIX Book Series. 1, 656. doi: 10.1007/978-3-319-72299-3
(2018). ABC and Indirect Inference.
Handbook of Approximate Bayesian Computation. 179-210.
(2018). Approximating the Likelihood in ABC.
Handbook of Approximate Bayesian Computation. 321-368.
(2018). ABC in Nuclear Imaging.
Handbook of Approximate Bayesian Computation. 623-648.
(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
(2018). High-Dimensional ABC.
Handbook of Approximate Bayesian Computation. 211-242.
(2018). An Integrated Loss-Based Optimization Model for Apple Supply Chain.
(N., K., J. E., & R. B., Ed.).Operations Research Proceedings 2017. 663 - 669. doi: 10.1007/978-3-319-89920-6_88
(2018). Inferences on the Acquisition of Multi-Drug Resistance in Mycobacterium Tuberculosis Using Molecular Epidemiological Data.
Handbook of Approximate Bayesian Computation. 481-511.
(2018). ABC Samplers.
Handbook of Approximate Bayesian Computation. 87-124.
(2018). Handbook of Approximate Bayesian Computation.
(Sisson, S. A., Fan Y., & Beaumont M. A., Ed.). doi: 10.1201/9781315117195
(2018). Overview of ABC.
Handbook of Approximate Bayesian Computation. 3-54.
(2016). Extreme Value Modelling and Risk Analysis.
(Dey, D., & Yan J., Ed.). 281-306.
(2016). R for Data Science.
Import, tidy, transform, visualize, and model data.
(2016). Rabi N. Bhattacharya: Selected Papers.
(Denker, M., & Waymire E. C., Ed.). 3-13. doi: 10.1007/978-3-319-30190-7_1
(2016). Applied Survival Analysis Using R.
(2016). Simulation and the Monte Carlo Methods, 3rd Edition.
1-432.
(2016). On sampling methods for costly multi-objective black-box optimization.
Advances in Stochastic and Deterministic Global Optimization. 273–296.
(2015). Current Trends in Bayesian Methodology with Applications.
(Upadhyay, S.K., Singh U., Dey D.K., & Loganathan A., Ed.). 287-310.
(2015). Biosecurity Surveillance: Quantitative Approaches.
(Jarrad, F., Low-Choy S., & Mengersen KL., Ed.).
(2015). Biosecurity Surveillance: Quantitative Approaches.
(Jarrad, F., Low-Choy S., & Mengersen KL., Ed.). 278-295.
(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
(2015). Stochastic Geometry, Spatial Statistics and Random Fields.
(Schmidt, V., Ed.). 369-404. doi: 10.1007/978-3-319-10064-7
(2015). A User's Guide to Network Analysis in R.
(2015). The Essential Guide to N-of-1 Trials in Health.
(Nikles, J., & Mitchell G., Ed.). 135-153.
(2015). The Essential Guide to N-of-1 Trials in Health.
(Nikles, J., & Mitchell G., Ed.). 211-231.
(2015). Biosecurity Surveillance: Quantitative Approaches.
(Jarrad, F., Low-Choy S., & Mengersen KL., Ed.). 137-150.
(2015). The Essential Guide to N-of-1 Trials in Health.
(Nikles, J., & Mitchell G., Ed.). 203-216.
(2015). The Essential Guide to N-of-1 Trials in Health.
(Nikles, J., & Mitchell G., Ed.). 9-42.
(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
(2015). Machine Vision and Mechatronics in Practice.
(Billingsley, J., & Brett P., Ed.). 39-48. doi: 10.1007/978-3-662-45514-2
(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
(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.).
(2015). Biosecurity surveillance: quantitative approaches.
(Jarrad, F., Low-Choy S., & Mengersen KL., Ed.). 123-133. doi: 10.1079/9781780643595.0000
(2015). R Packages.
(2014). Modern Optimization with R.
(2014). Statistical Analysis of Network Data with R.
(2014). Bayesian Networks in R.
with Applications in Systems Biology.