Local nonlinear least squares: using parametric information in nonparametric regression
type: Item
instance of: scholarly article
title: Local nonlinear least squares: using parametric information in nonparametric regression
zbMATH Open document ID: 0999.62031
DOI: 10.1016/S0304-4076(00)00031-2
published in: Journal of Econometrics
publication date: 2002-12-03T00:00:00Z
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62G20
Mathematics Subject Classification ID: 62J02
Mathematics Subject Classification ID: 62P20
zbMATH DE Number: 1539226
zbMATH Keywords: binary choice
zbMATH Keywords: kernel
zbMATH Keywords: local regression
zbMATH Keywords: parametric regression
author: Pedro L. Gozalo
author: Oliver Linton
describes a project that uses: KernSmooth
MaRDI profile type: Publication
cites work: Tests for Parameter Instability and Structural Change With Unknown Change Point
cites work: Nonparametric spline regression with prior information
cites work: Q4029495
cites work: Q3970341
cites work: Q4322332
cites work: Q4725475
cites work: Q3740105
cites work: Design-adaptive Nonparametric Regression
cites work: Local linear regression smoothers and their minimax efficiencies
cites work: Variable bandwidth and local linear regression smoothers
cites work: Local Polynomial Kernel Regression for Generalized Linear Models and Quasi-Likelihood Functions
cites work: Convergence Rates of SNP Density Estimators
cites work: Some limit theorems for empirical processes (with discussion)
cites work: Q3999325
cites work: Q4272837
cites work: Locally parametric nonparametric density estimation
cites work: A Smoothed Maximum Score Estimator for the Binary Response Model
cites work: Semiparametric estimation of a work-trip mode choice model
cites work: Asymptotic Properties of Non-Linear Least Squares Estimators
cites work: An Efficient Semiparametric Estimator for Binary Response Models
cites work: Local likelihood density estimation
cites work: Maximum score estimation of the stochastic utility model of choice
cites work: Multivariate regression estimation: Local polynomial fitting for time series
cites work: Nonparametric regression analysis of longitudinal data
cites work: U-processes: Rates of convergence
cites work: Simulation and the Asymptotics of Optimization Estimators
cites work: Convergence of stochastic processes
cites work: Basic structure of the asymptotic theory in dynamic nonlineaerco nometric models, part i: consistency and approximation concepts
cites work: Multivariate locally weighted least squares regression
cites work: Contributions to the theory of nonparametric regression, with application to system identification
cites work: Weak and strong uniform consistency of the kernel estimate of a density and its derivatives
cites work: The Kernel Estimate of a Regression Function in Likelihood-Based Models
cites work: Diagnostics for Assessing Regression Models
cites work: Consistent Estimation of Scaled Coefficients
cites work: Consistent nonparametric regression. Discussion
cites work: Optimal global rates of convergence for nonparametric regression
cites work: Local Likelihood Estimation
cites work: Q4865051
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description: scientific article; zbMATH DE number 1539226