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Dr

Xiaoyu Wang

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Overview

Availability

Dr Xiaoyu Wang is:
Available for supervision

Qualifications

  • Doctor of Philosophy of Statistical Theory, Queensland University of Technology

Works

Search Professor Xiaoyu Wang’s works on UQ eSpace

3 works between 2023 and 2024

1 - 3 of 3 works

2024

Journal Article

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. doi: 10.1007/s00285-024-02045-4

Calibration of agent based models for monophasic and biphasic tumour growth using approximate Bayesian computation

2024

Journal Article

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.

Preconditioned neural posterior estimation for likelihood-free inference

2023

Journal Article

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

Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics

Supervision

Availability

Dr Xiaoyu Wang is:
Available for supervision

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Media

Enquiries

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