课题基金 / 基金详情

Bayesian learning for decision making in the big data era

Bayesian learning for decision making in the big data era
大数据时代的贝叶斯学习决策
批准号:
FL150100150
负责人:
Prof Kerrie Mengersen
金额:
$170.37万
依托单位国家:
澳大利亚
项目类别:
Australian Laureate Fellowships
财政年份:
2015
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2015-12-10 至 2022-10-01

项目摘要

项目成果

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中文摘要
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英文摘要
Bayesian learning for decision making in the big data era: This fellowship project aims to develop new techniques in evidence-based learning and decision-making in the big data era. Big data has arrived, and with it a huge global demand for statistical knowledge and skills to analyse these data for improved learning and decision-making. This project will seek to address this need by creating a step-change in knowledge in Bayesian statistics and translating this knowledge to real-world challenges in industry, environment and health. The new big data statistical analysts trained through the project could also create much needed capacity at national and international levels.
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Statistical methods for quantifying variation in spatiotemporal areal data
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New Directions in Bayesian Statistics: formulation, computation and application to exemplar challenges
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Projection of the impact of climate change on the transmission of Ross River virus disease
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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  • 负责人:
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煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
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    --
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  • 负责人:
    吉建娇
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基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
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  • 负责人:
    沈剑
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