Big Data in Surveys: Challenges, Opportunities, and Strategies

Speaker: Jiming Jiang, University of California, Davis

Abstract: We discuss the notion of Big Data in the context of surveys. Examples of different types of survey Big Data, and the computational challenges, especially associated with complex statistical analysis, such as fitting a mixed effects model, are discussed. Some strategies of learning from the Big Data are proposed. In particular, we discuss a trade-off between statistical efficiency and computation complexity. Some empirical results, including simulation studies and analyses of Big Data are presented.