This book summarizes current knowledge regarding the theory of estimation for semiparametric models with missing data, in an organized and comprehensive manner. It starts with the study of semiparametric methods when there are no missing data. The description of the theory of estimation for semiparametric models is both rigorous and intuitive, relying on geometric ideas to reinforce the intuition and understanding of the theory. These methods are then applied to problems with missing, censored, and coarsened data with the goal of deriving estimators that are as robust and efficient as possible.
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这本讲的半参的geometry,以及missing data下的处理,可读性很强。读完这本可以看van der vaart和bickle的抽象半参理论。
评分这本讲的半参的geometry,以及missing data下的处理,可读性很强。读完这本可以看van der vaart和bickle的抽象半参理论。
评分这本讲的半参的geometry,以及missing data下的处理,可读性很强。读完这本可以看van der vaart和bickle的抽象半参理论。
评分这本讲的半参的geometry,以及missing data下的处理,可读性很强。读完这本可以看van der vaart和bickle的抽象半参理论。
评分这本讲的半参的geometry,以及missing data下的处理,可读性很强。读完这本可以看van der vaart和bickle的抽象半参理论。
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