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Robust estimation in partially linear regression models with monotonicity constraints
(Taylor & Francis, 2019-11)
Partially linear models are important tools in statistical modelling, combining the flexibility of non–parametric models and the simple interpretation of linear models. Monotonicity constraints appear naturally in certain ...
Robust estimators in semi-functional partial linear regression models
(Elsevier Inc, 2017-02)
Partial linear models have been adapted to deal with functional covariates to capture both the advantages of a semi-linear modelling and those of nonparametric modelling for functional data. It is easy to see that the ...
Robust estimators in partly linear regression models on Riemannian manifolds
(Taylor, 2014)
Under a partly linear model we study a family of robust estimates for the regression parameter and the regression function when some of the predictors take values on a Riemannian manifold. We obtain the consistency and the ...
Bayesian modeling of autoregressive partial linear models with scale mixture of normal errors
(Taylor & Francis LtdAbingdonInglaterra, 2013)
Testing in generalized partly linear models: A robust approach
(Elsevier, 2013-01)
In this paper, we introduce a family of robust statistics which allow to decide between a parametric model and a semiparametric one. More precisely, under a generalized partially linear model, i.e., when the observations ...
Detecção de bordas em imagens digitais através de um processo de difusão anisotrópica não linear
(2006-12-01)
The edges detection model by a non-linear anisotropic diffusion, consists in a mathematical model of smoothing based in Partial Differential Equation (PDE), alternative to the conventional low-pass filters. The smoothing ...
Detecção de bordas em imagens digitais através de um processo de difusão anisotrópica não linear
(2006-12-01)
The edges detection model by a non-linear anisotropic diffusion, consists in a mathematical model of smoothing based in Partial Differential Equation (PDE), alternative to the conventional low-pass filters. The smoothing ...
Bayesian modeling of censored partial linear models using scale-mixtures of normal distributions
(AMERICAN INSTITUTE OF PHYSICS, 2012)