New Directions in Bayesian Statistics: formulation, computation and application to exemplar challenges
New Directions in Bayesian Statistics: formulation, computation and application to exemplar challenges
批准号:
DP140103564
负责人:
Prof Kerrie Mengersen
金额:
$15.94万
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2014
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2014-01-01 至 2015-12-09
中文摘要
贝叶斯统计是一种基本的统计和机器学习方法,用于密度估计,数据分析和推理。然而,仍然有悬而未决的问题,制定的模型,可能性和先验,以及有效的计算。该项目提出了解决这些问题的新方法,并将其应用于两个典型的挑战:气候变化对大堡礁的影响,以及更好地了解与衰老相关的神经系统疾病,特别是帕金森病。
英文摘要
Bayesian statistics is a fundamental statistical and machine learning approach for density estimation, data analysis and inference. However, there remain open questions regarding the formulation of the model, the likelihood and priors, and efficient computation. This project proposes new approaches that address these issues, and applies them to two exemplar challenges: the impact of climate change on the Great Barrier Reef and better understanding neurological diseases related aging, in particular Parkinson's Disease.
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会议论文
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海外基金