Books and Book Chapters
(2019). Wider contours and adaptive contours.
Matrix Book Series 2017. 2,
(2019). Optimization Methods for Inverse Problems.
Computational Inverse Problems.
(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.
