Web9 Apr 2013 · This paper considers estimation of a functional partially quantile regression model whose parameters include the infinite dimensional function as well as the slope parameters. We show asymptotical normality of the estimator of the finite dimensional parameter, and derive the rate of convergence of the estimator of the infinite dimensional … Web1 Feb 2016 · By means of functional principal components analysis and local linear smoothing techniques, we obtain the estimators of coefficient functions of both function-valued variable and...
Estimation for partially varying-coefficient single-index models …
Web22 Dec 2024 · In this article, we describe the implementation of fitting partially linear functional-coefficient panel models with fixed effects proposed by An, Hsiao, and Li … Web15 Apr 2024 · This study introduces a partial functional linear spatial autoregressive model which can explore the relationship between a scalar spatially dependent response variable and predictive variables containing both multiple scalar covariates and a functional covariate. With approximating to the functional coefficient by Karhunen–Loève … difference between gut feeling and intuition
Model estimation and selection for partial linear varying coefficient …
WebSemiparametric models are often considered for analyzing longitudinal data for a good balance between flexibility and parsimony. In this paper, we study a class of marginal partially linear quantile models with possibly varying coefficients. The functional coefficients are estimated by basis function approximations. The estimation procedure is … Web1 Nov 2024 · We use the partially linear functional-coefficient (PLFC) model which allows us to treat the impact of environmental regulations as a non-parametric function of the GDP level, thereby identifying the non-linear impact of environmental regulations on green productivity at different GDP levels. Web21 Mar 2024 · This paper introduces a new fixed effects partially linear varying coefficient panel data regression model with nonseparable space-time filters. On the basis of approximating the varying coefficient functions with a powerful B-spline method, the profile quasi-maximum likelihood estimators of parameters and varying coefficient functions are … fork hunting club