香港六合彩中特网

The Royal Statistical Society (RSS) Research Prize is awarded to a Fellow of the Society near the beginning of their research career for an outstanding published contribution to statistical theory or application.

Dr Wang was commended for his work on providing a new understanding to computational and statistical trade-offs; developing theory for multi-dimensional shape constrained estimators; and introducing a new paradigm and method for detecting changes in high-dimensional data streams.

The RSS is one of the world's most distinguished and renowned statistical societies. Founded in 1834, the RSS is a British learned society for statistics, a professional body for statisticians, and a charity that promotes statistics for the public good.

Dr Wang said, "I am really excited to receive this award. I hope that my pursuit of theoretical and methodological statistics can provide a more solid foundation to statistical methods as they get increasingly applied to every facet of our lives."

鈥淢y work in the area of high-dimensional statistics involves identifying the most relevant features from a large number. For example, in situations where we simultaneously monitor many data streams over time, my work can be applied to identify structural changes localised in a small number of these data streams. This work, known as high-dimensional change point estimation, has applications ranging from medical imaging to network security monitoring.鈥�

RSS鈥� President Professor Deborah Ashby commented: 鈥淭his year鈥檚 winners are all outstanding statisticians of different ages from around the world truly reflecting the Society鈥檚 very diverse membership.鈥�

Dr Wang will collect his award this September at RSS鈥檚 annual conference in Belfast.

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