Wei Ning

Wei Ning is a Professor and Professor of Research Excellence in the Department of Mathematics and Statistics at Bowling Green State University (BGSU), within the College of Arts & Sciences. His research expertise focuses on statistical methodologies, particularly in change point analysis, empirical likelihood methods, and sequential analysis. He actively contributes to high-impact academic journals and collaborates on projects addressing challenges in reliability engineering, biostatistics, and financial data analysis.

Education:

• Ph.D. in Statistics, Syracuse University (2006), advised by Professor Hyune-Ju Kim
• M.A. in Statistics, Syracuse University (2003)
• B.A. in Mathematics and B.S. in Finance, University of Science and Technology of China (USTC) (1999)

Research Interests:

Wei Ning’s work centers on cutting-edge statistical techniques, including:

• Change Point Analysis: Detecting abrupt shifts in distributional parameters across various models
• Empirical Likelihood Method: Developing robust inferential procedures for complex datasets
• Time Series Analysis: Modeling temporal dependencies with applications in environmental and financial domains
• Survival Analysis: Analyzing time-to-event data under censoring mechanisms
• Sequential Analysis: Optimizing decision-making processes in real-time data scenarios

Recent Research Trends:

His recent publications emphasize advancements in detecting structural changes in distributions (e.g., Weibull, skew-t, Kumaraswamy) through empirical likelihood-based approaches and sequential testing frameworks. Key applications span reliability engineering, financial modeling, and biomedical research, reflecting his versatility in both theoretical and applied statistics.

Awards: No scientific awards explicitly mentioned.

Advising & Grants: No formal advisee list or grant details provided in the text. His academic contributions are primarily through collaborative research with co-authors like Said K.K., Tian Y.B., and others.

Labs/Teams: No specific labs or research teams explicitly listed, though he participates in cross-disciplinary projects within the department’s research groups.