Introduction to Semiparametric Inference

Part of the Springer Series in Statistics book series (SSS)

The goal of Part III, in combination with Chapter 3, is to provide a solid working knowledge of semiparametric inference techniques that will facilitate research in the area. Chapter 17 presents additional mathematical background, beyond that provided in Chapter 6, which enables the technical development of efficiency calculations and related mathematical tools needed for the remaining chapters. The topics covered include projections, Hilbert spaces, and adjoint operators in Banach spaces. The main topics overviewed in Chapter 3 will then be extended and generalized in Chapters 18 through 21. Many of these topics will utilize in a substantial way the empirical process methods developed in Part II. Part III, and the entire book, comes to a conclusion in the case studies presented in Chapter 22.


Causal Inference Empirical Process Semiparametric Estimation Current Status Data Entire Book 
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© Springer Science+Business Media, LLC 2008

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