Results 151 to 160 of about 7,325 (196)

Semiparametric approaches for mitigating spatial confounding in large environmental epidemiology cohort studies. [PDF]

Environmetrics
Rainey MJ, Keller KP.
europepmc   +1 more source

A gradient boosting decision tree based estimation method for the mixture cure model. [PDF]

J Appl Stat
Zheng J, Li P, Peng Y.
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Semiparametric Models [PDF]

, 2001
Much empirical research is concerned with estimating conditional mean, median, or hazard functions. For example, labor economists are interested in estimating the mean wages of employed individuals conditional on characteristics such as years of work experience and education.
Joseph G. Ibrahim, Ming-Hui Chen, Debajyoti Sinha   +2 more
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Introduction to Semiparametric Methods

Journal of Statistical Theory and Practice, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kedem, Benjamin, Lu, Guanhua
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Semiparametric Density Deconvolution

Scandinavian Journal of Statistics, 2010
The authors consider density \(f\) estimation by i.i.d. observations with the density \[ g(x)=f*\pi(x)=\int f(x-z)\pi(z)dz, \] where \(\pi\) is a known density of an independent measurement error. The idea is to use a parametric working model \(f(x\,|\,\vartheta)=w(x\,|\,\vartheta)g(x)\), where \(w(x\,|\,\vartheta)\), \(\vartheta\in\Theta\), is a model
Hazelton, M.L., Turlach, B.A.
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Semiparametric Analysis of Truncated Data

Lifetime Data Analysis, 2001
Randomly truncated data are frequently encountered in many studies where truncation arises as a result of the sampling design. In the literature, nonparametric and semiparametric methods have been proposed to estimate parameters in one-sample models.
Qin, Jing, Wang, Mei-Cheng
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Semiparametric econometrics: A survey

Journal of Applied Econometrics, 1988
AbstractSemiparametric econometric models contain both parametric and nonparametric components, reflecting in some fashion what has been learned from economic theory and previous empirical experience, and what remains unknown. They raise such questions as how well the parametric component can be estimated, and how to construct rules of inference with ...
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Semiparametric efficiency bounds

Journal of Applied Econometrics, 1990
AbstractSemiparametric models are those where the functional form of some components is unknown. Efficiency bounds are of fundamental importance for such models. They provide a guide to estimation methods and give an asymptotic efficiency standard.
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Efficiency Bounds for Semiparametric Regression

Econometrica, 1992
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