Calibration of agent based models for monophasic and biphasic tumour growth using approximate Bayesian computation
Wang, 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
Preconditioned neural posterior estimation for likelihood-free inference
Wang, 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.
Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics
Bon, 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
Projecting Future Transmission of Malaria Under Climate Change Scenarios: Challenges and Research Needs
Yu, 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