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Semiparametric model
Known as:
Semi-parametric model
, Seminonparametric
, Semiparametric
In statistics, a semiparametric model is a statistical model that has parametric and nonparametric components. A statistical model is a collection of…
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Related topics
Related topics
6 relations
Econometric model
Focused information criterion
Parametric model
Proportional hazards model
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Spatial semiparametric models improve estimates of species abundance and distribution
Andrew Olaf Shelton
,
J. Thorson
,
Eric J. Ward
,
B. E. Feist
2014
Corpus ID: 53361622
Accurate estimates of abundance are imperative for successful conservation and management. Classical, stratified abundance…
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Highly Cited
2011
Highly Cited
2011
Local Identification of Nonparametric and Semiparametric Models
Xiaohong Chen
,
V. Chernozhukov
,
S. Lee
,
Whitney Newey
2011
Corpus ID: 88519089
In parametric models a sufficient condition for local identification is that the vector of moment conditions is differentiable at…
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Highly Cited
2010
Highly Cited
2010
Semiparametric Trending Panel Data Models with Cross-Sectional Dependence
Jia Chen
,
Jiti Gao
,
Degui Li
2010
Corpus ID: 15774441
A semiparametric fixed effects model is introduced to describe the nonlinear trending phenomenon in panel data analysis and it…
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Review
2010
Review
2010
Democratic Compromise: A Latent Variable Analysis of Ten Measures of Regime Type
Daniel Pemstein
,
Stephen A. Meserve
,
J. Melton
Political Analysis
2010
Corpus ID: 56541754
Using a Bayesian latent variable approach, we synthesize a new measure of democracy, the Unified Democracy Scores (UDS), from 10…
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Highly Cited
2008
Highly Cited
2008
ON SEMIPARAMETRIC REGRESSION WITH O'SULLIVAN PENALIZED SPLINES
M. Wand
,
J. Ormerod
2008
Corpus ID: 120675062
An exposition on the use of O'Sullivan penalized splines in contemporary semiparametric regression, including mixed model and…
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Highly Cited
2007
Highly Cited
2007
tgp: An R Package for Bayesian Nonstationary, Semiparametric Nonlinear Regression and Design by Treed Gaussian Process Models
R. Gramacy
2007
Corpus ID: 798727
The tgp package for R is a tool for fully Bayesian nonstationary, semiparametric nonlinear regression and design by treed…
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Highly Cited
2006
Highly Cited
2006
Semiparametric Transformation Models for Survival Data With a Cure Fraction
D. Zeng
,
G. Yin
,
J. Ibrahim
2006
Corpus ID: 42274637
We propose a class of transformation models for survival data with a cure fraction. The class of transformation models is…
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Highly Cited
2001
Highly Cited
2001
A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error
A. Tsiatis
,
M. Davidian
2001
Corpus ID: 53135374
SUMMARY A common objective in longitudinal studies is to characterise the relationship between a failure time process and time…
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Highly Cited
2000
Highly Cited
2000
Model Selection and Semiparametric Inference for Bivariate Failure-Time Data
Weijing Wang
,
M. Wells
2000
Corpus ID: 12316366
Abstract We propose model selection procedures for bivariate survival models for censored data generated by the Archimedean…
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Highly Cited
1990
Highly Cited
1990
Semiparametric Estimation of Selection Models: Some Empirical Results
Whitney Newey
,
J. Powell
,
James R. Walker
1990
Corpus ID: 153708509
Among the central theoretical developments in the econometric analysis of nonexperimental microeconomic data has been the…
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