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   Articles with "varying coefficient" as a keyword



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Tracking the transmission dynamics of COVID-19 with a time-varying coefficient state-space model.

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recommendations! Published in 2022 at "Statistics in medicine"

DOI: 10.1002/sim.9382

Abstract: The spread of COVID-19 has been greatly impacted by regulatory policies and behavior patterns that vary across counties, states, and countries. Population-level dynamics of COVID-19 can generally be described using a set of ordinary differential… read more here.

Keywords: time; dynamics covid; transmission; varying coefficient ... See more keywords
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Time‐varying coefficient vector autoregressions model based on dynamic correlation with an application to crude oil and stock markets

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recommendations! Published in 2017 at "Environmental Research"

DOI: 10.1016/j.envres.2016.07.015

Abstract: Abstract This paper proposes a new time‐varying coefficient vector autoregressions (VAR) model, in which the coefficient is a linear function of dynamic lagged correlation. The proposed model allows for flexibility in choices of dynamic correlation… read more here.

Keywords: time varying; time; correlation; vector autoregressions ... See more keywords
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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
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Kernel-based random effect time-varying coefficient model for longitudinal data

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recommendations! Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.06.039

Abstract: Abstract Lots of efforts have been devoted to develop effective estimation methods for parametric and nonparametric longitudinal data models. Varying coefficient regression model has received a great deal of attention as an important tool for… read more here.

Keywords: longitudinal data; effect time; random effect; model ... See more keywords
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Model estimation and selection for partial linear varying coefficient EV models with longitudinal data

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recommendations! Published in 2021 at "Journal of Applied Statistics"

DOI: 10.1080/02664763.2021.1904847

Abstract: In this paper, we consider the estimation and model selection for longitudinal partial linear varying coefficient errors-in-variables (EV) models when the covariates are measured with some additive... read more here.

Keywords: model estimation; selection; partial linear; varying coefficient ... See more keywords
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Local estimation for varying-coefficient models with longitudinal data

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recommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2016.1154156

Abstract: ABSTRACT Varying-coefficient models are very useful for longitudinal data analysis. In this paper, we focus on varying-coefficient models for longitudinal data. We develop a new estimation procedure using Cholesky decomposition and profile least squares techniques.… read more here.

Keywords: longitudinal data; coefficient models; local estimation; varying coefficient ... See more keywords
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Improved statistical inference on semiparametric varying-coefficient partially linear measurement error model

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recommendations! 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
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Spatial autoregressive partially linear varying coefficient models

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recommendations! Published in 2020 at "Journal of Nonparametric Statistics"

DOI: 10.1080/10485252.2020.1759596

Abstract: ABSTRACT In this article, we consider a class of partially linear spatially varying coefficient autoregressive models for data distributed over complex domains. We propose approximating the varying coefficient functions via bivariate splines over triangulation to… read more here.

Keywords: autoregressive partially; spatial autoregressive; coefficient models; varying coefficient ... See more keywords
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Varying-coefficient regression analysis for pooled biomonitoring.

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recommendations! Published in 2021 at "Biometrics"

DOI: 10.1111/biom.13516

Abstract: Human biomonitoring involves measuring the accumulation of contaminants in biological specimens (such as blood or urine) to assess individuals exposure to environmental contamination. Due to the expensive cost of a single assay, the method of… read more here.

Keywords: regression analysis; analysis pooled; varying coefficient; pooled biomonitoring ... See more keywords
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Sparse estimation in semi-parametric finite mixture of varying coefficient regression models.

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recommendations! Published in 2023 at "Biometrics"

DOI: 10.1111/biom.13870

Abstract: Finite mixture of regressions (fmr) are commonly used to model heterogeneous effects of covariates on a response variable in settings where there are unknown underlying subpopulations. fmrs, however, cannot accommodate situations where covariates' effects also… read more here.

Keywords: finite mixture; coefficient regression; mixture; varying coefficient ... See more keywords
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Bayesian inference on mixed-effects varying-coefficient joint models with skew-t distribution for longitudinal data with multiple features

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recommendations! Published in 2017 at "Statistical Methods in Medical Research"

DOI: 10.1177/0962280215569294

Abstract: In AIDS clinical study, two biomarkers, HIV viral load and CD4 cell counts, play important roles. It is well known that there is inverse relationship between the two. Nevertheless, the relationship is not constant but… read more here.

Keywords: bayesian inference; effects varying; mixed effects; varying coefficient ... See more keywords