Bayesian Statistics, Social Survey Analysis, Nonparametric Method
Recent Research Interests
My main research interest is in developing Bayesian statistical methods, which can incorporate characteristics in social surveys and induce additional studies for deeper understanding of structures of societies. It is challenging to build realistic statistical models for large-scale social surveys. It is standard that data are high-dimensional, mixed-scale, time-indexed and heterogeneous with complex dependence, and massive missing values are observed. The sample is collected via complex survey designs for which an adjustment needs to be incorporated into statistical models. Also, social science data often contain private information, therefore they are not allowed to be released to the public. I have worked on development of the Bayesian approach to address these challenging problems.