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   Articles with "partially linear" as a keyword



Quantile partially linear additive model for data with dropouts and an application to modeling cognitive decline.

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recommendations! Published in 2023 at "Statistics in medicine"

DOI: 10.1002/sim.9745

Abstract: The National Alzheimer's Coordinating Center Uniform Data Set includes test results from a battery of cognitive exams. Motivated by the need to model the cognitive ability of low-performing patients we create a composite score from… read more here.

Keywords: additive model; linear additive; model; quantile regression ... See more keywords

Testing for parametric component of partially linear models with missing covariates

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recommendations! Published in 2019 at "Statistical Papers"

DOI: 10.1007/s00362-016-0848-6

Abstract: This paper considers the testing problem of partially linear models with missing covariates. The inverse probability weighted restricted estimator for the parametric component under linear constraint is derived and proven to share asymptotically normal distribution.… read more here.

Keywords: parametric component; partially linear; linear models; missing covariates ... See more keywords
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A robust and efficient estimation and variable selection method for partially linear models with large-dimensional covariates

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recommendations! Published in 2018 at "Statistical Papers"

DOI: 10.1007/s00362-018-1013-1

Abstract: In this paper, a new robust and efficient estimation approach based on local modal regression is proposed for partially linear models with large-dimensional covariates. We show that the resulting estimators for both parametric and nonparametric… read more here.

Keywords: large dimensional; efficient estimation; robust efficient; models large ... See more keywords

Empirical likelihood and variable selection for partially linear single-index EV models with missing censoring indicators

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recommendations! Published in 2020 at "Journal of The Korean Statistical Society"

DOI: 10.1007/s42952-020-00065-6

Abstract: In this paper, we focus on the empirical likelihood inference for partially linear single-index errors-in-variables (EV) models when the data are right censored and the censoring indicator is missing at random (MAR). Two bias-corrected empirical… read more here.

Keywords: likelihood; linear single; empirical likelihood; single index ... See more keywords
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Robust and optimal estimation for partially linear instrumental variables models with partial identification

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recommendations! Published in 2021 at "Journal of Econometrics"

DOI: 10.1016/j.jeconom.2020.05.012

Abstract: Abstract This paper studies robust and optimal estimation of the slope coefficients in a partially linear instrumental variables model with nonparametric partial identification. We establish the root-n asymptotic normality of a penalized sieve minimum distance… read more here.

Keywords: partial identification; robust optimal; identification; slope coefficients ... See more keywords
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How do imports and exports affect green productivity? New evidence from partially linear functional-coefficient models.

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recommendations! Published in 2022 at "Journal of environmental management"

DOI: 10.1016/j.jenvman.2021.114422

Abstract: Globalization and income disparities have raised an urgent need to re-examine the environmental consequences of international trade. Using a global panel dataset covering 93 economies from 1980 to 2017, this paper explores the heterogeneous impacts… read more here.

Keywords: imports exports; income; green productivity; income countries ... See more keywords

A new orthogonality-based estimation for varying-coefficient partially linear models

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recommendations! Published in 2019 at "Journal of the Korean Statistical Society"

DOI: 10.1016/j.jkss.2018.08.001

Abstract: Abstract Varying coefficient partially linear models are usually used for longitudinal data analysis, and an interest is mainly to improve efficiency of regression coefficients. By the orthogonality estimation technology and the quadratic inference function method,… read more here.

Keywords: varying coefficient; partially linear; linear models; coefficient partially ... See more keywords

Semiparametric estimation of multivariate partially linear models

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recommendations! Published in 2017 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2017.1318135

Abstract: ABSTRACT Inspired by a primary hypertension study was conducted by Chinese government in the Inner Mongolia Autonomous Region, we introduce partially linear models with multivariate responses to evaluate the simultaneous effects of modifiable risk factors… read more here.

Keywords: multivariate partially; semiparametric estimation; linear models; partially linear ... See more keywords

Smooth-threshold estimating equations for partially linear additive models based on modal regression

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recommendations! Published in 2025 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2025.2563088

Abstract: We study variable selection for partially linear additive models based on smooth-threshold estimating equations and modal regression. Employing B-spline basis functions to approximate the non-parametric component, we convert the semi-parametric model into a parametric model.… read more here.

Keywords: threshold estimating; estimating equations; modal regression; smooth threshold ... See more keywords

A new kernel two-parameter prediction under multicollinearity in partially linear mixed measurement error model

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recommendations! Published in 2024 at "Statistics"

DOI: 10.1080/02331888.2024.2378301

Abstract: A Partially linear mixed effects model relating a response Y to predictors $ (X,Z,T) $ (X,Z,T) with the mean function $ X^{T}\beta +Zb+g(T) $ XTβ+Zb+g(T) is considered in this paper. When the parametric parts' variable… read more here.

Keywords: two parameter; linear mixed; kernel two; error ... See more keywords

Heteroscedastic partially linear model under skew-normal distribution with application in ragweed pollen concentration

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recommendations! Published in 2022 at "Journal of Applied Statistics"

DOI: 10.1080/02664763.2021.2024798

Abstract: We introduce a new class of heteroscedastic partially linear model (PLM) with skew-normal distribution. Maximum likelihood estimation of the model parameters by the ECM algorithm (Expectation/Conditional Maximization) as well as influence diagnostics for the new… read more here.

Keywords: linear model; normal distribution; heteroscedastic partially; model ... See more keywords