On a matrix-valued autoregressive model
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Publication:6655919
DOI10.1111/jtsa.12748MaRDI QIDQ6655919
Publication date: 27 December 2024
Published in: Journal of Time Series Analysis (Search for Journal in Brave)
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Economic time series analysis (91B84) Inference from stochastic processes (62Mxx)
Cites Work
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- Autoregressive models for matrix-valued time series
- Large Bayesian VARMAs
- Strong selection consistency of Bayesian vector autoregressive models based on a pseudo-likelihood approach
- Impulse response analysis in nonlinear multivariate models
- Time series: theory and methods.
- Estimating the dimension of a model
- On a method of investigating periodicities in disturbed series, with special reference to Wolfer's sunspot numbers.
- Estimation and forecasting in vector autoregressive moving average models for rich datasets
- Factor models for matrix-valued high-dimensional time series
- On periodicity in series of related terms.
- Canonical correlation for principal components of time series
- Heteroscedastic modelling via the autoregressive conditional variance subspace
- Bayesian analysis of matrix normal graphical models
- Asymptotic Theory of Overparameterized Structural Models
- Vec and vech operators for matrices, with some uses in jacobians and multivariate statistics
- Modeling Multiple Times Series with Applications
- Multiple Time Series Analysis and the Final Form of Econometric Models
- Kronecker products and matrix calculus in system theory
- Wavelet analysis of matrix–valued time–series
- Multivariate Time Series Analysis and Applications
- Matrix Autoregressive Spatio-Temporal Models
- A semiparametric approach for modelling multivariate nonlinear time series
- Dimension reduction for the conditional mean and variance functions in time series
- Constrained Factor Models for High-Dimensional Matrix-Variate Time Series
- High-Dimensional Posterior Consistency in Bayesian Vector Autoregressive Models
- A new matrix product and its applications in partitioned matrix differentiation
- Factor Models for High-Dimensional Tensor Time Series
- High-Dimensional Vector Autoregressive Time Series Modeling via Tensor Decomposition
- The summation of random causes as the source of cyclic processes.
- Additive autoregressive models for matrix valued time series
- Matrix-variate time series analysis: a brief review and some new developments
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