Jennifer Chan

Jennifer Chan is a Professor in the School of Mathematics and Statistics at The University of Sydney. Her research areas include statistical theory, computational statistics and machine learning, and econometrics and financial mathematics. She teaches courses such as STAT3926 / 4026 Workshop and Seminar. Her personal web page provides additional information about her research and teaching activities. She is based in Room 817, Carslaw Building, and can be contacted via email at jennifer.chan@sydney.edu.au.

Jennifer S.K. Chan is a researcher at the University of Sydney, specializing in generalized linear mixed models, geometric process models, scale mixtures distributions, and loss reserve models. Her work explores statistical modeling techniques for complex data structures, including applications in financial volatility, cryptocurrency analysis, and public health. Chan's research includes the development of Bayesian methods for stochastic volatility models, the use of scale mixtures distributions in statistical modeling, and the application of geometric process models to analyze event sequences. Her publications also address issues such as methadone maintenance, mortality modeling, and data analysis for extreme events. Her research contributes to both theoretical advancements and practical applications in statistics and related fields.