Pages that link to "Item:Q5413282"
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The following pages link to Structured lasso for regression with matrix covariates (Q5413282):
Displaying 20 items.
- Autoregressive models for matrix-valued time series (Q109413) (← links)
- Covariate-Adjusted Tensor Classification in High-Dimensions (Q131930) (← links)
- Trace regression model with simultaneously low rank and row(column) sparse parameter (Q1658399) (← links)
- Independent component analysis for tensor-valued data (Q1679572) (← links)
- Factor models for matrix-valued high-dimensional time series (Q1739643) (← links)
- Double fused Lasso penalized LAD for matrix regression (Q2009580) (← links)
- Double fused Lasso regularized regression with both matrix and vector valued predictors (Q2044365) (← links)
- Sparse matrix linear models for structured high-throughput data (Q2135347) (← links)
- Lasso ANOVA decompositions for matrix and tensor data (Q2416780) (← links)
- L2RM: Low-Rank Linear Regression Models for High-Dimensional Matrix Responses (Q3304862) (← links)
- SLASSO: a scaled LASSO for multicollinear situations (Q3389663) (← links)
- Model-Free Variable Selection With Matrix-Valued Predictors (Q5066428) (← links)
- Tensor Canonical Correlation Analysis With Convergence and Statistical Guarantees (Q5066457) (← links)
- Matrix Autoregressive Spatio-Temporal Models (Q5066496) (← links)
- (Q5159419) (← links)
- (Q5312223) (← links)
- High-Dimensional Vector Autoregressive Time Series Modeling via Tensor Decomposition (Q5881139) (← links)
- Statistical inference on the significance of rows and columns for matrix-valued data in an additive model (Q6064232) (← links)
- A varying coefficient model with matrix valued covariates (Q6611228) (← links)
- The spatial-temporal lag model of matrix-valued time series and its application (Q6654108) (← links)