معرفی
Yanyuan Ma is a Professor of Statistics at The Pennsylvania State University, affiliated with the Eberly College of Science and the Department of Statistics. She holds a B.S. in Mathematics from Beijing University (1994) and a Ph.D. in Applied Mathematics from MIT (1999).
Her research focuses on semiparametric methods, dimension reduction, measurement error models, latent variables, survival analysis, and missing data problems. She is particularly known for contributions to statistical theory with applications in biostatistics and econometrics.
Education:
- Ph.D. in Applied Mathematics, Massachusetts Institute of Technology, 1999
- B.S. in Mathematics, Beijing University, 1994
Research Interests:
- Measurement error modeling and bias correction
- Dimension reduction techniques in high-dimensional data
- Analysis of censored and missing data
- Latent variable models and selection bias mechanisms
- Skew-elliptical distributions and semiparametric efficiency
Publications Overview:
Her work spans methodological advancements in statistical theory with applications to genetics, epidemiology, and econometrics. Recent research emphasizes efficient estimation in complex models involving measurement errors, nonignorable missingness, and functional data. Key contributions include model averaging strategies, pseudolikelihood estimation, and risk score methodologies across populations.
Awards:
- Fellow of the Institute of Mathematical Statistics (IMS)
- Fellow of the American Statistical Association (ASA)
Teaching & Advising:
Teaches advanced courses including Applied Statistics, Survival Analysis, and Semiparametrics. While no specific advisees are listed, her research contributions indicate active mentorship in statistical methodology and applications.
