Pages that link to "Item:Q159941"
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The following pages link to Projected estimation for large-dimensional matrix factor models (Q159941):
Displaying 14 items.
- Rank and Factor Loadings Estimation in Time Series Tensor Factor Model by Pre-averaging (Q87476) (← links)
- HDMFA (Q159942) (← links)
- Robust estimation of the number of factors for the pair-elliptical factor models (Q2155030) (← links)
- Robust projected principal component analysis for large-dimensional semiparametric factor modeling (Q2692929) (← links)
- Adaptive singular value shrinkage estimate for low rank tensor denoising (Q5041692) (← links)
- Simultaneous Cluster Structure Learning and Estimation of Heterogeneous Graphs for Matrix-Variate fMRI Data (Q6079710) (← links)
- One-way or two-way factor model for matrix sequences? (Q6108337) (← links)
- Some recent trends in embeddings of time series and dynamic networks (Q6135377) (← links)
- Matrix-variate data analysis by two-way factor model with replicated observations (Q6137835) (← links)
- Matrix Factor Analysis: From Least Squares to Iterative Projection (Q6150367) (← links)
- Adaptively robust high-dimensional matrix factor analysis under Huber loss function (Q6541938) (← links)
- Online change-point detection for matrix-valued time series with latent two-way factor structure (Q6621541) (← links)
- Low-rank latent matrix-factor prediction modeling for generalized high-dimensional matrix-variate regression (Q6626885) (← links)
- The spatial-temporal lag model of matrix-valued time series and its application (Q6654108) (← links)