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Title: Statistical inference in big data high dimensional generalized estimating equations via optimal subsampling Authors:  Hanxiang Peng - IUPUI (United States) [presenting]
Abstract: Statistical inference is considered for massive data sets in the framework of general estimating equations when the sample size is massive. Our approach is the A-optimal subsampling. We derive the A-optimal sampling distributions, discuss the algorithmic and statistical properties, construct the A-optimal Scoring Algorithm, and provide the asymptotic behaviors of the subsampling estimates for both fixed and growing dimension. In the end, we report some simulations and real data results.