Robust forecasting of multiple time series with one-sided dynamic principal components
From MaRDI portal
Publication:6606406
DOI10.1007/978-3-031-22687-8_11MaRDI QIDQ6606406
Publication date: 16 September 2024
Ridge regression; shrinkage estimators (Lasso) (62J07) Asymptotic distribution theory in statistics (62E20) Robustness and adaptive procedures (parametric inference) (62F35) Multivariate analysis (62Hxx)
Cites Work
- Unnamed Item
- Robust estimation for ARMA models
- Asymptotic behaviour of S-estimates of multivariate location parameters and dispersion matrices
- Robust covariance estimation for approximate factor models
- Robust estimation for vector autoregressive models
- Robust high-dimensional factor models with applications to statistical machine learning
- A robust procedure to build dynamic factor models with cluster structure
- Clustering time series by linear dependency
- Dynamic factor models with infinite-dimensional factor spaces: one-sided representations
- Dynamic factor models with infinite-dimensional factor space: asymptotic analysis
- Robust Statistics
- Forecasting Multiple Time Series With One-Sided Dynamic Principal Components
- Determining the Number of Factors in Approximate Factor Models
This page was built for publication: Robust forecasting of multiple time series with one-sided dynamic principal components