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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…
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Keywords:
additive model;
linear additive;
model;
quantile regression ... See more keywords
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Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2019.1651858
Abstract: Abstract This article is concerned with statistical inference of partially linear additive regression models where the covariates in parametric component are measured with errors. Using polynomial spline approximations, we propose bias-corrected least squares estimators for…
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Keywords:
estimation variable;
linear additive;
variable selection;
partially linear ... See more keywords
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Published in 2021 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2021.3111555
Abstract: We study how the divide and conquer principle works in high-dimensional partially linear additive models when the dimension of the linear part is large compared to the sample size. We find that a two-stage approach…
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Keywords:
part;
linear part;
partially linear;
high dimensional ... See more keywords
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Published in 2025 at "Algorithms"
DOI: 10.3390/a18110675
Abstract: Cognitive diagnostic models (CDMs) are commonly used in educational assessment to uncover the specific cognitive skills that contribute to student performance, allowing for precise identification of individual strengths and weaknesses and the design of targeted…
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Keywords:
log linear;
linear additive;
hidden markov;
additive cognitive ... See more keywords
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Published in 2025 at "Symmetry"
DOI: 10.3390/sym17030394
Abstract: In this article, we examine a class of partially linear additive models (PLAM) defined via a measurable mapping Ψ:Rq→R. More precisely, we consider Ψ(Yi):=Yi=Zi⊤β+∑l=1dml(Xl,i)+εi,i=1,…,n, where Zi=(Zi,1,…,Zi,p)⊤ and Xi=(X1,i,…,Xd,i)⊤ denote vectors of explanatory variables. The unknown…
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Keywords:
almost sure;
linear additive;
optimal almost;
convergence ... See more keywords