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: Queensland University of Technology
• 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
• 起止时间: 2015-12-10 至 2022-10-01
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FL150100150
• 关键词: Bayesian; learning; decision; making; big

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.

大数据时代决策的贝叶斯学习：该奖学金项目旨在开发大数据时代循证学习和决策的新技术。大数据已经到来，随之而来的是全球对统计知识和技能的巨大需求，以分析这些数据以改进学习和决策。该项目将寻求通过贝叶斯统计知识的逐步变革并将这些知识转化为工业、环境和健康方面的现实挑战来满足这一需求。通过该项目培训的新大数据统计分析师还可以在国家和国际层面创造急需的能力。