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
Improved statistical inference on semiparametric varying-coefficient partially linear measurement error model
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Nonparametric Statistics"
DOI: 10.1080/10485252.2019.1603383
Abstract: ABSTRACT In this paper, we consider the estimation and goodness-of-fit test of a semiparametric varying-coefficient partially linear (SVCPL) model when both responses and part of covariates are measured with error. It is assumed that the… read more here.
Keywords: error; coefficient partially; varying coefficient; semiparametric varying ... See more keywords
Optimal Model Averaging Estimation for the Varying-Coefficient Partially Linear Models with Missing Responses
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DOI: 10.3390/math11081883
Abstract: In this paper, we propose a model averaging estimation for the varying-coefficient partially linear models with missing responses. Within this context, we construct a HRCp weight choice criterion that exhibits asymptotic optimality under certain assumptions.… read more here.
Keywords: model averaging; coefficient partially; averaging estimation; varying coefficient ... See more keywords