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Jingjing Wu, PhD
PhD in Statistics, Department of Mathematical and Statistical Sciences, University of Alberta, CanadaM Sc in Probability, School of Mathematical Sciences, Beijing Normal University, China
B Sc in Computational Mathematics and Applied Software, College Of Science, Minzu University of China, China
Areas of Research
Statistics, Biostatistics
My current research interests are mainly in the area of statistical inferences for semiparametric and nonparametric models and related applications in biostatistics. Minimum distance estimations are investigated under both semiparametric model of general form and particularly mixture models, (logistic) regression models and case-control studies. I have keen interests in not only the asymptotic efficiency and robustness properties of minimum distance estimations, but also their applications in areas such as genetic studies, survival analysis, economics, etc.
My current research interests are mainly in the area of statistical inferences for semiparametric and nonparametric models and related applications in biostatistics. Minimum distance estimations are investigated under both semiparametric model of general form and particularly mixture models, (logistic) regression models and case-control studies. I have keen interests in not only the asymptotic efficiency and robustness properties of minimum distance estimations, but also their applications in areas such as genetic studies, survival analysis, economics, etc.
Supervising degrees
Math and Statistics - Doctoral: Accepting Inquiries
Math and Statistics - Masters: Accepting Inquiries
Working with this supervisor
I am recruiting graduate students at both master and Ph.D levels. Those who have strong mathematical/statistical background (a must for PhD applicants) and high computing capability are especially encouraged to apply. Admitted students will get involved in research projects toward his/her graduate thesis. These projects include methodology development, analytical investigation of new methodologies, and their applications in areas such as genetics, survival analysis, econometrics, etc.
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