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2024 Journal Article Calibration of agent based models for monophasic and biphasic tumour growth using approximate Bayesian computationWang, Xiaoyu, Jenner, Adrianne L., Salomone, Robert, Warne, David J. and Drovandi, Christopher (2024). Calibration of agent based models for monophasic and biphasic tumour growth using approximate Bayesian computation. Journal of Mathematical Biology, 88 (3) 28, 28. doi: 10.1007/s00285-024-02045-4 |
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2024 Journal Article Preconditioned neural posterior estimation for likelihood-free inferenceWang, Xiaoyu, Kelly, Ryan P., Warne, David J. and Drovandi, Christopher (2024). Preconditioned neural posterior estimation for likelihood-free inference. Transactions on Machine Learning Research, 2024. |
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2023 Journal Article Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statisticsBon, Joshua J., Bretherton, Adam, Buchhorn, Katie, Cramb, Susanna, Drovandi, Christopher, Hassan, Conor, Jenner, Adrianne L., Mayfield, Helen J., McGree, James M., Mengersen, Kerrie, Price, Aiden, Salomone, Robert, Santos-Fernandez, Edgar, Vercelloni, Julie and Wang, Xiaoyu (2023). Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics. Philosophical Transactions A. Mathematical, Physical and Engineering Sciences, 381 (2247) 20220156. doi: 10.1098/rsta.2022.0156 |
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2015 Journal Article Projecting Future Transmission of Malaria Under Climate Change Scenarios: Challenges and Research NeedsYu, Weiwei, Mengersen, Kerrie, Dale, Pat, Ye, Xiaofang, Guo, Yuming, Turner, Lyle, Wang, Xiaoyu, Bi, Yan, McBride, William J. H., MacKenzie, John S. and Tong, Shilu (2015). Projecting Future Transmission of Malaria Under Climate Change Scenarios: Challenges and Research Needs. Critical Reviews in Environmental Science and Technology, 45 (7), 777-811. doi: 10.1080/10643389.2013.852392 |
