Supplementary material for “Efficient inference and identifiability analysis for differential equation models with random parameters”
Supplementary material for “Efficient inference and identifiability analysis for differential equation models with random parameters”
复制标题
“具有随机参数的微分方程模型的有效推理和可辨识性分析”的补充材料
DOI：
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
M. J. Simpson
中科院分区：
文献类型：
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作者：
A. Browning;C. Drovandi;I. Turner;L. Adrianne;Jenner;M. J. Simpson
“随机参数微分方程模型的有效推理和可辨识性分析”Alexander P. browning1,2,3, Christopher drovandi1,2, Ian W. Turner1, Adrianne L. jenner1,2, and Matthew J. Simpson*1,2 1澳大利亚布里斯班昆士兰科技大学数学科学学院2澳大利亚布里斯班昆士兰科技大学数据科学中心3英国牛津大学数学研究所
“Efficient inference and identifiability analysis for differential equation models with random parameters” Alexander P. Browning1,2,3, Christopher Drovandi1,2, Ian W. Turner1, Adrianne L. Jenner1,2, and Matthew J. Simpson*1,2 1School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia 2QUT Centre for Data Science, Queensland University of Technology, Brisbane, Australia 3Mathematical Institute, University of Oxford, Oxford, United Kingdom