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.
發表於2024-11-28
Semiparametric Theory and Missing Data 2024 pdf epub mobi 電子書 下載
圖書標籤: Statistics 非參數統計 Semiparametric MissingData Mathematics 數學
這本書的前五章,我自己講過一遍,看著學弟學妹們講瞭3遍……但還是沒什麼實際感覺……
評分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.
評分這本書的前五章,我自己講過一遍,看著學弟學妹們講瞭3遍……但還是沒什麼實際感覺……
評分Very informative discussion.
評分Very informative discussion.
Semiparametric Theory and Missing Data 2024 pdf epub mobi 電子書 下載