Keming Yu is a professor in Department of Mathematical Sciences at Brunel University London. He got his first degree in Mathematics and MSc in Statistics from universities in China and got his PhD in Statistics from the Open University, Milton Keynes. He is a fellow of the Royal Statistical Society since 1993.
Main research area: Based on mathematical theory and data analysis methods, his research aims to explore statistical methods, models and optimal algorithms to deal with challenges in:
• Modelling the relationship or dependency as well as prediction among small variables with Big or Small data sizes via regression models and classification, such as quantile regression models (nonparametric quantile regression and Bayesian quantile regression) and machine learning methods (regression tree, random forest),
• Statistical analysis of lifestyle interventions and economic evaluation for preventing Obesity, Asthma and other health issues,
• Risk assessment in financial econometrics and Exceedance probability of extreme events,
• Statistical reliability analysis of smart manufacturing and renewable energy, such as corrosion data analysis in pipeline,
• Uncertainty quantification via Bayesian inference and dynamic process modelling.
Member of Editorial Board
• Journal of the Royal Statistical Society
• Statistics and Its Interface