Resolvent estimators for functional autoregressive processes with random coefficients
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Publication:2078551
DOI10.1016/j.jmva.2021.104884zbMath1493.62299OpenAlexW3210723456MaRDI QIDQ2078551
Publication date: 1 March 2022
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2021.104884
Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Functional data analysis (62R10)
Uses Software
Cites Work
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- An introduction to recent advances in high/infinite dimensional statistics
- A partial overview of the theory of statistics with functional data
- Inference for functional data with applications
- An introduction to functional data analysis and a principal component approach for testing the equality of mean curves
- The ARHD model
- Curve forecasting by functional autoregression
- Random coefficient autoregressive models: an introduction
- Strict stationarity of generalized autoregressive processes
- Wavelet methods for continuous-time prediction using Hilbert-valued autoregressive processes
- Linear processes in function spaces. Theory and applications
- Applied functional data analysis. Methods and case studies
- Theoretical and practical aspects of the quadratic error in the local linear estimation of the conditional density for functional data
- Recent advances in functional data analysis and high-dimensional statistics
- Optimal rate for covariance operator estimators of functional autoregressive processes with random coefficients
- Admissibility results under some balanced loss functions for a functional regression model
- Functional data analysis for cash flow and transactions intensity continuous-time prediction using Hilbert-valued autoregressive processes
- Functional data analysis.
- Sieves estimator of the operator of a functional autoregressive process
- Nonparametric functional data analysis. Theory and practice.
- Testing for parameter stability in \(RCA(1)\) time series
- Autoregressive Forecasting of Some Functional Climatic Variations
- A FUNCTIONAL VERSION OF THE ARCH MODEL
- Estimation in nonstationary random coefficient autoregressive models
- The stochastic equation Yn+1=AnYn + Bn with stationary coefficients
- RECURSIVE ESTIMATION IN SWITCHING AUTOREGRESSIONS WITH A MARKOV REGIME
- Approximation spline de la prevision d'un processus fonctionnel autorégressif d'ordre 1
- Nonparametric estimation of smoothed principal components analysis of sampled noisy functions
- Nonparametric modelling for functional data: selected survey and tracks for future
- Doubly stochastic Hilbertian processes
- Normalité asymptotique de l'estimateur empirique de l'opérateur d'autocorrélation d'un processus ARH(1)
- BOOTSTRAP FOR RANDOM COEFFICIENT AUTOREGRESSIVE MODELS
- Functional Principal Component Regression and Functional Partial Least‐squares Regression: An Overview and a Comparative Study
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