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ConceptHigh-Dimensional Regression

High-Dimensional Regression

A research area in statistical learning that addresses regression problems where the feature dimensionality is comparable to or exceeds the number of samples. Regularization methods such as ridge regression and LASSO are commonly employed to mitigate the curse of dimensionality.

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Oct 5

This study models the data selection problem as a high-dimensional regression scenario with multiple heterogeneous data sources, and employs a weighted ridge regression estimator to fuse these sources.

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This study models the data selection problem as a high-dimensional regression scenario with multiple heterogeneous data sources, and employs a weighted ridge regression estimator to fuse these sources.

50%

Source Articles

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