Pages that link to "Item:Q5413267"

The following pages link to Dimension folding PCA and PFC for matrix-valued predictors (Q5413267):

Displaying 19 items.

• Tensor sliced inverse regression (Q476235) (← links)
• Ensemble sufficient dimension folding methods for analyzing matrix-valued data (Q1658995) (← links)
• Independent component analysis for tensor-valued data (Q1679572) (← links)
• Sliced inverse regression for integrative multi-omics data analysis (Q2324966) (← links)
• L2RM: Low-Rank Linear Regression Models for High-Dimensional Matrix Responses (Q3304862) (← links)
• JADE for Tensor-Valued Observations (Q3391095) (← links)
• Sufficient dimension folding in regression via distance covariance for matrix‐valued predictors (Q4970311) (← links)
• Likelihood-Based Dimension Folding on Tensor Data (Q5040484) (← links)
• Model-Free Variable Selection With Matrix-Valued Predictors (Q5066428) (← links)
• Sufficient dimension folding via tensor inverse regression (Q5107782) (← links)
• (Q5159419) (← links)
• Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension (Q5242475) (← links)
• Joint Bayesian longitudinal models for mixed outcome types and associated model selection techniques (Q6188255) (← links)
• Vector autoregression and envelope model (Q6541477) (← links)
• Sliced average variance estimation for tensor data (Q6565525) (← links)
• Higher-order sliced inverse regressions (Q6604461) (← links)
• Structured time-dependent inverse regression (STIR) (Q6617487) (← links)
• High-dimensional multivariate geostatistics: a Bayesian matrix-normal approach (Q6626391) (← links)
• Conditional mean dimension reduction for tensor time series (Q6626670) (← links)