Nanwei Wang

My research interests mainly focus on graphical models, composite likelihood, Bayesian model selection, linear mixed models in genome-wide association study (GWAS). Under the supervision of Professor Helene Massam at York University, I started my research on Maximum Likelihood Estimation(MLE) in graphical models. Since then, I have been working on developing statistical learning methods to analyze high-dimensional data arising from machine learning problems or genetic research.

I have been working on different composite likelihood methods in high-dimension statistical models. I am very interested in the development of scalable likelihood methods in complex system and study the large deviations theory of these estimators.

Recently, I am also checking Bayesian model selection methods and I am interested in the difference between Bayesian methods and likelihood methods.