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Kernel estimates of nonparametric functional autoregression models and their bootstrap approximation

https://doi.org/10.1214/17-ejs1303
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4612-1154-9openalex-snapshot
Linear Processes in Function Spaces : Theory and Applications
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Inference for Functional Data with Applications
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Functional Data Analysis
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Model-Free Prediction and Regression: A Transformation-Based Approach to Inference
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Applied Functional Data Analysis: Methods and Case Studies
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Empirical properties of forecasts with the functional autoregressive model
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Rejoinder on: Model-free model-fitting and predictive distributions
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Bootstrap Methods for Time Series
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Prediction of functional ARMA processes with an application to traffic data
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Curve forecasting by functional autoregression
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Regression when both response and predictor are functions
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An innovations algorithm for the prediction of functional linear processes
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General linear processes in Hilbert spaces and prediction
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Bootstrap prediction intervals for linear, nonlinear and nonparametric autoregressions
inferredcites →https://doi.org/10.1016/j.spa.2004.07.006openalex-snapshot
Nonparametric regression estimation for dependent functional data: asymptotic normality
inferredcites →https://doi.org/10.1016/s0047-259x(03)00028-9openalex-snapshot
Wavelet methods for continuous-time prediction using Hilbert-valued autoregressive processes
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Multivariate regression estimation local polynomial fitting for time series
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A CENTRAL LIMIT THEOREM AND A STRONG MIXING CONDITION
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On the Prediction of Stationary Functional Time Series
inferredcites →https://doi.org/10.1080/02331880802184961openalex-snapshot
Advances on asymptotic normality in non-parametric functional time series analysis
inferredcites →https://doi.org/10.1111/j.1467-842x.2007.00480.xopenalex-snapshot
NONPARAMETRIC REGRESSION ON FUNCTIONAL DATA: INFERENCE AND PRACTICAL ASPECTS
inferredcites →https://doi.org/10.1111/j.1467-9469.2009.00662.xopenalex-snapshot
On the Validity of the Bootstrap in Non-Parametric Functional Regression
inferredcites →https://doi.org/10.1111/j.1467-9868.2006.00569.xopenalex-snapshot
A Functional Wavelet–Kernel Approach for Time Series Prediction
inferredcites →https://doi.org/10.1111/j.1467-9892.1983.tb00368.xopenalex-snapshot
NONPARAMETRIC ESTIMATORS FOR TIME SERIES
inferredcites →https://doi.org/10.1111/rssb.12076openalex-snapshot
Dynamic Functional Principal Components
inferredcites →https://doi.org/10.11588/heidok.00020864openalex-snapshot
Bootstrap of Kernel Smoothing in Nonlinear Time Series
inferredcites →https://doi.org/10.1198/jasa.2010.tm09794openalex-snapshot
Tests for Error Correlation in the Functional Linear Model
inferredcites →https://doi.org/10.1214/09-aos768openalex-snapshot
Weakly dependent functional data
inferredcites →https://doi.org/10.1214/16-ejs1156openalex-snapshot
Bootstrap confidence intervals in functional nonparametric regression under dependence
inferredcites →https://doi.org/10.1214/aos/1024691254openalex-snapshot
Regression-type inference in nonparametric autoregression
inferredcites →https://doi.org/10.2307/1165264openalex-snapshot
Functional Data Analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Convergence of the Local Linear Estimator for a Generalized Regression Function With Heterogeneous Dependent Functional Data
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A new estimation in functional linear concurrent model with covariate dependent and noise contamination
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Sieve bootstrapping the memory parameter in long-range dependent stationary functional time series
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Bootstrap methods for stationary functional time series
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Bootstrap prediction regions for daily curves of electricity demand and price using functional data
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Functional GARCH models: The quasi-likelihood approach and its applications
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High-dimensional functional time series forecasting: An application to age-specific mortality rates
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Quantifying prediction uncertainty for functional-and-scalar to functional autoregressive models under shape constraints
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The bootstrap in kernel regression for stationary ergodic data when both response and predictor are functions
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Statistical inference on nonparametric regression model with approximation of Fourier series function: Estimation and hypothesis testing
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Statistical inferences and applications of nonparametric regression models based on fourier series
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Modified partial least square structural equation model with multivariate adaptive regression spline: Parameter estimation technique and applications
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Double bootstrapping for visualizing the distribution of descriptive statistics of functional data
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Bootstrap Prediction Bands for Functional Time Series
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Bootstrap Prediction Bands for Functional Time Series
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Functional data analysis: estimation of the relative error in functional regression under random left-truncation model
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Functional Sieve Bootstrap for the Partial Sum Process With an Application to Change‐Point Detection
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Stopping Time Detection of Wood Panel Compression: A Functional Time-Series Approach
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Nadaraya-Watson estimation of a nonparametric autoregressive model
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Bootstrapping Long-Run Covariance of Stationary Functional Time Series
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The autoregression bootstrap for kernel estimates of smooth nonlinear functional time series
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