Model-free prediction of time series: a nonparametric approach
From MaRDI portal
Publication:6611237
DOI10.1080/10485252.2023.2266740MaRDI QIDQ6611237
Meng Li, Mohammad Mahdi Mohammadi
Publication date: 26 September 2024
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Inference from stochastic processes and prediction (62M20) Prediction theory (aspects of stochastic processes) (60G25) Nonparametric inference (62Gxx)
Cites Work
- Predictive, finite-sample model choice for time series under stationarity and non-stationarity
- Model-free prediction and regression. A transformation-based approach to inference
- Time series: theory and methods.
- Fitting time series models to nonstationary processes
- Forecasting non-stationary time series by wavelet process modelling
- Neural network forecasting for seasonal and trend time series
- Model-free bootstrap for a general class of stationary time series
- Model-free model-fitting and predictive distributions
- Nonparametric lag selection for time series models
- Foundations of time series analysis and prediction theory
- Nonparametric Forecasting in Time Series - A Comparative Study
- A new class of blased estimate in linear regression
- A Review of Nonparametric Time Series Analysis
- Prediction of α‐stable GARCH and ARMA‐GARCH‐M models
- A persistence‐based Wold‐type decomposition for stationary time series
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- Prediction in Locally Stationary Time Series
This page was built for publication: Model-free prediction of time series: a nonparametric approach
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6611237)