Nonparametric regression: An up–to–date bibliography

DOI10.1080/02331888508801860zbMath0574.62043OpenAlexW2059100530MaRDI QIDQ3692630

Gérard Collomb

Publication date: 1985

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888508801860

zbMATH Keywords

predictionbibliographykerneltime series analysisspline functionsdiscriminationnearest neighbournonparametric regression estimationrecursive estimates

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Nonparametric estimation (62G05)

Related Items (23)

Nonparametric function recovering from noisy observations ⋮ Nonparametric orthogonal series estimators of regression: A class attaining the optimal convergence rate in \(L_ 2\) ⋮ Consistent nonparametric multiple regression: the fixed design case ⋮ Statistics of Nadaraya-Watson estimator errors in surrogate-based optimization ⋮ Asymptotic properties of the multivariate Nadaraya-Watson regression function estimate: The fixed design case ⋮ Regression models with correlated errors based on functional random design ⋮ Consistencia de un estimador no parametrico, recursivo, de la regresion bajo condiciones generales ⋮ ON THE REGRESSION ESTIMATION FROM p-MIXING SAMPLES ⋮ Consistent nonparametric multiple regression for dependent heterogeneous processes: the fixed design case ⋮ Nonparametric multiple function fitting ⋮ Nonparametric estimation of a regression function and its derivatives under an ergodic hypothesis ⋮ Nonparametric least squares estimation of a regression function ⋮ A robust nonparametric estimation of the autoregression function under an ergodic hypothesis ⋮ Residuals density estimation in nonparametric regression ⋮ Nonparametric prediction from ergodic samples ⋮ The nonextensive gas: a kinetic approach ⋮ On the almost everywhere properties of the kernel regression estimate ⋮ Kernel estimates of the mean and the volatility functions in a nonlinear autoregressive model with ARCH errors ⋮ Nonparametric Statistics and High/Infinite Dimensional Data ⋮ Unnamed Item ⋮ Nonparametric regression M-quantiles ⋮ On the non-parametric prediction of conditionally stationary sequences ⋮ Robust kernel estimators for additive models with dependent observations

Cites Work

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• Consistent window estimation in nonparametric regression
• Asymptotic properties of kernel estimates of a regression function
• Strong uniform consistency for nonparametric survival curve estimators from randomly censored data
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• Admissible selection of an accurate and parsimonious normal linear regression model
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• Estimation of a regression function by the parzen kernel-type density estimators
• On the empirical Bayes approach to multiple decision problems
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• [https://portal.mardi4nfdi.de/wiki/Publication:3038407 Propri�t�s de convergence presque compl�te du pr�dicteur � noyau]
• Discriminatory Analysis. Nonparametric Discrimination: Consistency Properties
• Spline Interpolation and Smoothing on the Sphere
• Some Recent Developments in Time Series Analysis, Correspondent Paper
• Estimation Non-paramétrique de la Régression: Revue Bibliographique
• Necessary and sufficient conditions for the pointwise convergence of nearest neighbor regression function estimates
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• Bibliography on estimation of misclassification
• A completely automatic french curve: fitting spline functions by cross validation
• On the Integral Mean Square Error of Some Nonparametric Estimates for the Density Function
• Distribution-free exponential error bound for nearest neighbor pattern classification
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• On a Global Measure of Deviation for an Estimate of the Regression Line
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• [https://portal.mardi4nfdi.de/wiki/Publication:4743507 Sur la pr�diction non param�trique de variables al�atoires et de mesures al�atoires]
• Bounds for the Risks of Non-Parametric Regression Estimates
• On Non-Parametric Estimates of Density Functions and Regression Curves
• Nearest neighbor pattern classification
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• Nonparametric Estimation of the Transition Distribution Function of a Markov Process
• Unbiased Estimation in Convex Families
• Remarks on Non-Parametric Estimates for Density Functions and Regression Curves
• Joint Asymptotic Distribution of the Estimated Regression Function at a Finite Number of Distinct Points
• Nonparametric estimation of a regression function

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