Jane-ling Wang

Jane-ling Wang is a Professor in the Department of Statistics at the University of California, Berkeley. She graduated with a Ph.D. in Statistics in 1982 under the advisement of Lucien Le Cam, contributing to statistical theory with her dissertation on Asymptotically Minimax Estimators for Distributions with Increasing Failure Rate.

• University: University of California, Berkeley
• Email: wang@wald.ucdavis.edu
• Academic Rank: Professor
• Research Focus: Probability, Non-parametric Inference, and Statistical Estimation

Her research interests align with foundational areas in statistics, including statistical theory and estimation methods, with connections to broader fields like Machine Learning and Causal Inference as highlighted in the department’s research overview.

Jane-ling Wang’s academic work emphasizes theoretical and applied statistics, particularly in developing robust estimators for distributions with increasing failure rates. Her expertise intersects with probability theory and non-parametric methods, contributing to both classical and modern statistical challenges.

While specific scientific awards or recent publications are not detailed in the provided text, her role as a Professor underscores her leadership in advancing statistical science through research, teaching, and mentorship.