Doubly robust kernel density estimation when group membership is missing at random

• Published in: Journal of statistical planning and inference Vol. 206; pp. 163 - 178
• Main Authors: Zhang, Chenguang, He, Hua, Li, Jian, Tang, Wan
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.05.2020
• Subjects: Doubly robust; Kernel smoothing; Missing at random; Missing at random; Kernel smoothing; Doubly robust

When there are subjects with subpopulation memberships missing, the kernel density estimates of the subpopulations based on the subjects with verified memberships may not be valid unless the missingness of the memberships satisfies the stringent missing completely at random assumption. Under more pl...