High-dimensional partially linear model
WebIn this paper, we study ultra-high-dimensional partially linear models when the dimension of the linear predictors grows exponentially with the sample size. For the variable screening, we propose a sequential profile Lasso method (SPLasso) and show that it possesses the screening property. Web11 de abr. de 2024 · Out of various viscoelasticity models, the Kelvin–Voigt model and Maxwell models are the two fundamental rheological models to analyze the dynamic properties of viscoelastic sheets. 5 5. F. F. Montiel, “ Numerical and experimental analysis of water wave scattering by floating elastic plates,” Ph.D. thesis ( University of Otago, 2012).
High-dimensional partially linear model
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Web13 de abr. de 2024 · A partially linear mean shift model (PLMSM) is here proposed to investigate the relationship between MMSE score and high-dimensional regions of interest in MRI, and detect the outliers. In the presence of high-dimensional data, existing Bayesian approaches (eg, Markov chain Monte Carlo) to analyze a PLMSM take intensive … WebHigh-dimensional PLM AMS 2000 subject classification. Primary 62J05, 62G08; secondary 62E20 1. Introduction. Consider a partially linear model (PLM) Y = X0fl +g(T)+"; where fl is a p £ 1 vector of regression coefficients associated with X, and g is an unknown function of T. In this model, the mean response is linearly related to X, while ...
Web1 de dez. de 2024 · Partially linear regression models are semiparametric models that contain both linear and nonlinear components. They are extensively used in many … Web摘要： This paper analyzes a new regularized learning scheme for high-dimensional partially linear support vector machine (SVM). The proposed approach consists of an empirical risk and the Lasso-type penalty for linear part, as well as the standard functional norm for nonlinear part.
WebKeywords: High dimension; minimax optimal; partial linear additive model; semiparametric. 1. Introduction In this paper, we consider high dimensional partially linear additive models: Y = X T 0 + XJ j =1 fj (Z j)+ "; (1.1) where the Euclidean vector 0 2 R p is sparse with p > n and fj: R 7! R are nonparametric functions with possibly di erent ... Web30 de jun. de 2024 · This paper studies group selection for high-dimensional partially linear model with the adaptive group bridge method. We also consider the choice of γ in the bridge penalty. It is worth mentioning that we use ‘leave-one-observation-out’ cross-validation to select both λ and γ.This method can significantly reduce the computational …
Webtion in partially linear models with a divergent number of covariates in the linear part, under the assumption that the vector of regression coefficients is sparse. We apply the …
Web1 de out. de 2024 · Guo et al. (2024) study a statistical inference procedure in the high-dimensional linear mediation models. They propose a new F-type test for the direct and indirect effects and also develop its theoretical properties. Luo et al. (2024) extend the methodologies to a survival outcome for settings with high-dimensional mediators. dark red color palette with namesWeb7 de ago. de 2013 · An RKHS-based approach to double-penalized regression in high-dimensional partially linear models. Journal of Multivariate Analysis, Vol. 168, Issue. , … dark red christmas tree skirtWeb31 de mar. de 2009 · SCAD-penalized regression in high-dimensional partially linear models. We consider the problem of simultaneous variable selection and estimation in … bishop peter wren srWeb1 de nov. de 2024 · We study simultaneous variable selection and estimation in high-dimensional partially linear models under the assumption that the nonparametric … dark red clothes dyeWeb1 de set. de 2013 · In this example, we consider the proposed variable selection procedure (BAS-ACQR) for n = 200, d = 400 in (3.1) (i.e., the number of nonzero coefficients in the linear part is 3 and that of zero coefficients is 397). The results of variable selection are reported in Table 1.Here, ACQR1 and ACQR2 represent the proposed BAS-ACQR … dark red clover with yellow flowersWeb摘要： This paper analyzes a new regularized learning scheme for high-dimensional partially linear support vector machine (SVM). The proposed approach consists of an … dark red color nameWeb3 de jul. de 2013 · It is shown that a high‐dimensional linear part can be estimated with oracle rates, using the least absolute shrinkage and selection operator penalty for the linear part and a smoothness Penalty for the nonparametric part. Partial linear models have been widely used as flexible method for modelling linear components in conjunction with … bishop pettiford