Regression estimation by local polynomial fitting for multivariate data streams
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Publication:725697
DOI10.1007/s00362-016-0791-6zbMath1401.62048OpenAlexW2465206646MaRDI QIDQ725697
Publication date: 2 August 2018
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://orbi.uliege.be/handle/2268/255962
Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Stochastic approximation (62L20) Sequential estimation (62L12)
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Cites Work
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- Asymptotic normality of conditional density estimation with left-truncated and dependent data
- The notion of \(\psi \)-weak dependence and its applications to bootstrapping time series
- Robust estimation of multivariate regression model
- A Newton-Raphson version of the multivariate Robbins-Monro procedure
- Variable bandwidth and local linear regression smoothers
- Recursive estimation of regression functions by local polynomial fitting
- Multivariate regression estimation: Local polynomial fitting for time series
- Recursive local polynomial regression under dependence conditions
- Recursive estimation of nonparametric regression with functional covariate
- Multivariate locally weighted least squares regression
- Weak dependence beyond mixing and asymptotics for nonparametric regression
- Asymptotic theory of weakly dependent stochastic processes
- Data streams. Models and algorithms.
- Dm-KDE: dynamical kernel density estimation by sequences of KDE estimators with fixed number of components over data streams
- Weak dependence. With examples and applications.
- Functional Estimation of a Density Under a New Weak Dependence Condition
- Recursive regression estimators with application to nonparametric prediction
- An Effective Bandwidth Selector for Local Least Squares Regression
- UNIFORM CONVERGENCE RATES FOR KERNEL ESTIMATION WITH DEPENDENT DATA
- MULTIVARIATE LOCAL POLYNOMIAL REGRESSION FOR TIME SERIES:UNIFORM STRONG CONSISTENCY AND RATES
- Recursive Nonparametric Estimation for Time Series
- A Stochastic Approximation Method
- Multivariate Local Polynomial Kernel Estimators: Leading Bias and Asymptotic Distribution
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