SAVING SPECIES WITH BIG DATA AND APPLIED STATISTICS

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SAVING SPECIES WITH BIG DATA AND APPLIED STATISTICS

机译：通过大数据和应用统计信息保存物种

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Kerrie Mengersen, Professor of Statistics at the Queensland University ofTechnology (QUT), knows she has the best job in the world. Studying everything from the effect of chemotherapy on the brain to the efficient management of airports, Mengersen applies the tools of Bayesian statistics to some of the world's most important problems.A Bayesian statistician views the world as an opportunity for adaptive learning, Mengersen explains. "We create new mathematical and statistical methods and computational solutions," she says. "Then we apply these new approaches to help solve important problems across diverse areas including health, environment, conservation, business and industry." "As statisticians we find the stories in the data, and then convey these insights to people who make decisions to address some of the world's grand challenges."

机译：昆士兰科技大学（QUT）的统计学教授Kerrie Mengersen知道她拥有世界上最好的工作。门格尔森研究了从脑部化学疗法到机场的有效管理等各种问题，将贝叶斯统计工具应用于世界上一些最重要的问题，贝叶斯统计学家将世界视为适应性学习的机会。她说：“我们创建了新的数学和统计方法以及计算解决方案。” “然后，我们运用这些新方法来帮助解决健康，环境，保护，商业和工业等各个领域的重要问题。” “作为统计学家，我们在数据中找到故事，然后将这些见解传达给做出决定以应对世界上一些重大挑战的人们。”

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《Nature》 |2014年第7510期|S61-61|共1页
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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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