Results 141 to 150 of about 15,261 (244)
In this paper, we discuss the statistical inference of interval-censored recurrence event data under an informative observation process. We establish an additive semiparametric mean model for the recurrence event process.
Ni Li, Meiting Lin, Yakun Shang
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Semiparametric Estimation in Multivariate Nonstationary Time Series Models [PDF]
A system of multivariate semiparametric nonlinear time series models is studied with possible dependence structures and nonstationarities in the parametric and nonparametric components.
Peter C.B. Phillips, Jiti Gao
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The accurate monitoring of metabolic syndrome in older adults is relevant in terms of its early detection, and its management. This study aimed at proposing a novel semiparametric modeling for a cardiometabolic risk index (CMRI) and individual risk ...
Philippe Tagder +7 more
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Estimation of Copula-Based Semiparametric Time Series Models [PDF]
This paper studies the estimation of a class of copula-based semiparametric stationary Markov models. These models are characterized by nonparametric invariant (or marginal) distributions and parametric copula functions that capture the temporal ...
Yanqin Fan, Xiaohong Chen
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Asymptotic Expansions for Some Semiparametric Program Evaluation Estimators [PDF]
We investigate the performance of a class of semiparametric estimators of the treatment effect via asymptotic expansions. We derive approximations to the first two moments of the estimator that are valid to 'second order'.
Oliver Linton, Hidehiko Ichimura
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Efficient estimation of parameters in marginals in semiparametric multivariate models [PDF]
Recent literature on semiparametric copula models focused on the situation when the marginals are specified nonparametrically and the copula function is given a parametric form.
Artem Prokhorov, Valentyn Panchenko
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Difference based Ridge and Liu type Estimators in Semiparametric Regression Models [PDF]
We consider a difference based ridge regression estimator and a Liu type estimator of the regression parameters in the partial linear semiparametric regression model, y = Xβ + f + ε.
Wolfgang Karl Härdle +2 more
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A CLOSER LOOK AT INDIRECT CAUSES OF DEATH AFTER HURRICANE MARIA USING A SEMIPARAMETRIC MODEL
Lugo O, Rivera R.
europepmc +1 more source
Semiparametric Model for Bivariate Survival Data Subject to Biased Sampling. [PDF]
Piao J, Ning J, Shen Y.
europepmc +1 more source
Another Look at the Income Elasticity of Non-Point Source Air Pollutants: A Semiparametric Approach [PDF]
In this paper, a semiparametric model is used to examine the relationship between pollution and income for three non-point source pollutants. Statistical tests reject the quadratic specification in favor of the semiparametric model in all cases. However,
Nilanjana Roy, G. Cornelis van Kooten
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