A Flexible and Parsimonious Modelling Strategy for
Clustered Data Analysis
Prof. Wenyang ZHANG
Chair Professor of Business Intelligence and Analytics, FBA
Date: 5 September 2023 (Tuesday)
Time: 13:00 to 14:00pm
Venue: FBA Lobby
Abstract
Statistical modelling strategy is the key for success in data analysis. The trade-off between flexibility and parsimony plays a vital role in statistical modelling. In clustered data analysis, in order to account for the heterogeneity between the clusters, certain flexibility is necessary in the modelling, yet parsimony is also needed to guard against the complexity and account for the homogeneity among the clusters. In this talk, I will introduce a flexible and parsimonious modelling strategy for clustered data analysis. The strategy strikes a nice balance between flexibility and parsimony, and accounts for both heterogeneity and homogeneity well among the clusters, which often come with strong practical meanings. In fact, its usefulness has gone beyond clustered data analysis, it also sheds promising lights on transfer learning. An estimation procedure is developed for the unknowns in the resulting model, and asymptotic properties of the estimators are established. Intensive simulation studies are conducted to demonstrate how well the proposed methods work, and a real data analysis is also presented to illustrate how to apply the modelling strategy and associated estimation procedure to answer some real problems arising from real life.
Speaker
Prof. Wenyang Zhang is a Chair Professor of Business Intelligence and Analytics at the University of Macau. He is an expert in high-dimensional/Big data analysis, financial data analysis, nonparametric modeling, nonlinear time series, survival analysis, functional data analysis, spatial data analysis, multi-level modeling, and structural equation models. He is an associate editor of The Annals of Statistics (one of the top three statistics journals and an ABS4* journal), of the Journal of the American Statistical Association (one of the top three statistics journals and an ABS4 journal), and of the Journal of Business & Economic Statistics (an ABS4 journal). Additionally, he was a member of the Research Section Committee of the Royal Statistical Society, UK.
Prof. Wenyang Zhang has published many high quality papers in top statistics journals with quite a few papers being highly cited. One of his papers has been cited more than 3200 times, with another one cited more than 800 times.
All are welcome!
