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Qiying Wang is a Professor of Statistics at the University of Sydney. He possesses well-established expertise in classical limit theory and asymptotics. Qiying Wang is a member of the Statistics Research Group. His research interests lie primarily in Nonstationary Time Series Econometrics, Nonparametric Statistics, Econometric Theory, Local Time Theory, Martingale Limit Theory, and Self-normalized Limit Theory. His contributions to the field are significant, particularly in understanding complex patterns within statistical data. Wang's research aligns with the Faculty of Science's research strengths, focusing on topics such as understanding the universe, fundamental laws of nature, complex systems, precision digital health, and data-driven decisions. Notable publications include works on limit theorems and nonlinear cointegrating regression, highlighting his contributions to statistical theory and applications, which have been recognized through various research grants from the Australian Research Council.
This entry applies to Faculty of Science PhD programs including Departments such as Life and Environmental Sciences, Physics, Chemistry, and Mathematics and Statistics.