Improved inference for stochastic movement models

改进随机运动模型的推理

• 批准号: 2609784
• 金额: --
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2609784
• 关键词: Improved; inference; stochastic; movement; models

This project looks at ways to improve the application of continuous-time movement models, such as multi-state diffusion processes. It will look at improved Markov chain Monte Carlo algorithms that exploit the structure of the models better than existing algorithms, and at approximations that limit the complexity of the state-switching process.

该项目着眼于如何改善连续时间运动模型的应用，如多态扩散过程。它将着眼于改进的马尔可夫链蒙特卡罗算法，利用模型的结构比现有的算法，并在近似限制状态切换过程的复杂性。