Rate My Professor Neville Weber

Professor Neville Weber is an Emeritus Professor in the School of Mathematics and Statistics, Faculty of Science, at the University of Sydney. He earned his PhD in Mathematical Statistics from the University of Sydney in 1981, with his dissertation entitled 'Martingale Central Limit Theorems for Dependent Random Variables' supervised by Chris Heyde. Having spent the entirety of his professional career at the University of Sydney, Weber was appointed to the Chair of Mathematical Statistics, as announced in the Australian Mathematical Society Gazette in 2005, and subsequently served as Head of the School of Mathematics and Statistics. He is associated with the Statistics Research Group, where his academic interests encompass asymptotic approximations in statistics, U-statistics, and exchangeable random variables.

Weber's scholarly contributions include numerous peer-reviewed publications in prestigious journals, addressing key challenges in statistical theory and applications. Among his works are 'The bias of lag window estimators of the fractional difference parameter' (1994), 'Fixation in Conditional Branching Process Models in Population Genetics' (2006), 'A General Frequency Domain Estimation Method for Gegenbauer Processes' (2021, Journal of Time Series Analysis), and 'Estimation methods for stationary Gegenbauer processes' (2022, Statistical Papers, co-authored with Richard Hunt and Shelton Peiris). He also penned the entry 'U-Statistics' for the International Encyclopedia of Statistical Science (2011). His research output totals 93 publications on ResearchGate with 1,483 citations, and 963 citations on Scopus. Weber has held executive roles in the Bernoulli Society and was honored with a symposium by the Statistical Society of Australia. He has taught units such as intermediate mathematics and statistics, supervised PhD students including Jennifer Chan, delivered lectures like 'Understanding the ATAR' at SUSMAC 2014, and co-organized workshops on asymptotic expansions and large deviations.