| Likelihood-free simulation-based optimal design with an application to spatial extremes M Hainy, WG Müller, H Wagner Stochastic Environmental Research and Risk Assessment 30, 481-492, 2016 | 24 | 2016 |
| Sequential experimental design for predator–prey functional response experiments H Moffat, M Hainy, NE Papanikolaou, C Drovandi Journal of The Royal Society Interface 17 (166), 20200156, 2020 | 18 | 2020 |
| Learning functions and approximate Bayesian computation design: ABCD M Hainy, WG Müller, HP Wynn Entropy 16 (8), 4353-4374, 2014 | 14 | 2014 |
| Approximate Bayesian computation design (ABCD), an introduction M Hainy, WG Müller, HP Wynn mODa 10–Advances in Model-Oriented Design and Analysis: Proceedings of the …, 2013 | 13 | 2013 |
| ABC model selection for spatial extremes models applied to South Australian maximum temperature data XJ Lee, M Hainy, JP McKeone, CC Drovandi, AN Pettitt Computational statistics & data analysis 128, 128-144, 2018 | 12 | 2018 |
| Likelihood-free extensions for Bayesian sequentially designed experiments M Hainy, CC Drovandi, JM McGree mODa 11-Advances in Model-Oriented Design and Analysis: Proceedings of the …, 2016 | 12 | 2016 |
| Optimal Bayesian design for model discrimination via classification M Hainy, DJ Price, O Restif, C Drovandi Statistics and Computing 32 (2), 25, 2022 | 9 | 2022 |
| Likelihood-free simulation-based optimal design M Hainy, WG Müller, H Wagner arXiv preprint arXiv:1305.4273, 2013 | 9 | 2013 |
| Likelihood-free simulation-based optimal design: An introduction M Hainy, WG Müller, H Wagner Topics in Statistical Simulation: Research Papers from the 7th International …, 2014 | 7 | 2014 |
| A convex approach to optimum design of experiments with correlated observations A Pázman, M Hainy, WG Müller Electronic Journal of Statistics 16 (2), 5659-5691, 2022 | 3 | 2022 |
| Discrimination between Gaussian process models: active learning and static constructions E Yousefi, L Pronzato, M Hainy, WG Müller, HP Wynn Statistical Papers 64 (4), 1275-1304, 2023 | 1 | 2023 |
| Active Discrimination Learning for Gaussian Process Models E Yousefi, L Pronzato, M Hainy, WG Müller, HP Wynn arXiv preprint arXiv:2211.11624, 2022 | | 2022 |
| ABC model selection for spatial max-stable models ap-plied to South Australian maximum temperature data XJ Lee, M Hainy, JP McKeone, CC Drovandi, AN Pettitt arXiv 1710, 2017 | | 2017 |
| Simulation-based optimal experimental design for models with intractable likelihoods using likelihood-free methods ML Hainy Linz, 2015 | | 2015 |
| IFAS Research Paper Series 2013-64 M Hainy, WG Muller, H Wagner arXiv preprint arXiv:1305.4273, 2013 | | 2013 |
| Online resource 1 for “Likelihood-free simulation-based optimal design with an application to spatial extremes” M Hainy, WG Müller, H Wagner | | |
