Quantile partially linear additive model for data with dropouts and an application to modeling cognitive decline.
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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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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
A robust and efficient estimation and variable selection method for partially linear models with large-dimensional covariates
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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
Sign Up to like & getrecommendations! 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
Robust and optimal estimation for partially linear instrumental variables models with partial identification
Sign Up to like & getrecommendations! 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
How do imports and exports affect green productivity? New evidence from partially linear functional-coefficient models.
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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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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
Heteroscedastic partially linear model under skew-normal distribution with application in ragweed pollen concentration
Sign Up to like & getrecommendations! 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
Estimation and testing for semiparametric mixtures of partially linear models
Sign Up to like & getrecommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2016.1189569
Abstract: ABSTRACT In this paper, we study the estimation and inference for a class of semiparametric mixtures of partially linear models. We prove that the proposed models are identifiable under mild conditions, and then give a… read more here.
Keywords: testing semiparametric; semiparametric mixtures; estimation testing; mixtures partially ... See more keywords
Statistical estimation for a partially linear single-index model with errors in all variables
Sign Up to like & getrecommendations! Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1425446
Abstract: ABSTRACT This article considers partially linear single-index models with errors in all variables. By using the Pseudo − θ method (Liang, Härdle, and Carroll 1999), local linear regression and simulation-extrapolation (SIMEX) technique (Cook and Stefanski… read more here.
Keywords: errors variables; linear single; model; single index ... See more keywords