Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 4 of 4 for “"Semiparametric Theory"”.
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Comparing Predictive Values of Two diagnostic tests
… to depend on observed data. In Chapter 2, we use semiparametric theory to derive a class of regular and asymptotically normal of our parameter of interest. Out of the class, we derive an estimator which is the most effcient in the class in using the information from available auxiliary covariates …
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Modern Methods in Semiparametric Statistics
… of interest to look beyond parametric models. Semiparametric models, defined in terms of infinite dimensional parameters, provides extra flexibility over potentially misspecified parametric models. The desire to construct estimators for parameters of interest that are optimal over the broad …
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Causal Inference with Survival Outcomes via Orthogonal Statistical Learning
… Our approach combines importance sampling, semiparametric theory, and Neyman orthogonality to resolve both model misspecification and lack of covariate overlap between treatment arms in observational studies with censored outcomes. We give regularity conditions for the consistency, …
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Statistical Methods for Off-Policy Learning
… both DTRs and MDPs. This is based on the theory for causal identification in problems described by acyclic directed mixed graphs (ADMGs). The conditions generalise the existing notion of “sequential ignorability” from the DTR literature by introducing a collection of variables—referred to …