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Principal Investigator  
Principal Investigator's Name: bai yongxin
Institution: Renmin university of china
Department: statistics
Proposed Analysis: We propose a new partial functional smoothed quantile regression models for sparse longitudinal data. The method aims at quantile regression with large-scale data in the hight dimension and irregularly spaced longitudinal data with measurement errors.
Additional Investigators