Semiparametric Theory and Missing Data pdf epub mobi txt 电子书 下载 2025
- Statistics
- 非参数统计
- Semiparametric
- MissingData
- Mathematics
- 数学
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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fairly nice and straightforward explanation for eff semipar bound in the event that the parameter of interest can be concretely written. It is however relying too much on the restricted moment model to prove things and to some extent, skipping the elegant treatment using generic fuctional analysis methods. Bridging this book to BKRW is hard.
评分这本书的前五章，我自己讲过一遍，看着学弟学妹们讲了3遍……但还是没什么实际感觉……
评分Very informative discussion.
评分fairly nice and straightforward explanation for eff semipar bound in the event that the parameter of interest can be concretely written. It is however relying too much on the restricted moment model to prove things and to some extent, skipping the elegant treatment using generic fuctional analysis methods. Bridging this book to BKRW is hard.
评分fairly nice and straightforward explanation for eff semipar bound in the event that the parameter of interest can be concretely written. It is however relying too much on the restricted moment model to prove things and to some extent, skipping the elegant treatment using generic fuctional analysis methods. Bridging this book to BKRW is hard.
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