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Showing 1 to 2 of 2 for “"Semiparametric statistics"”.
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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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Weighting and moment conditions in Bayesian inference
… estimation. Such problems are often called semiparametric because we are interested in estimating a finite-dimensional parameter in the presence of an infinite-dimensional nuisance parameter. Chapter 4 studies examples such as linear regression with heteroscedastic errors, and quantile …