ConceptGaussian Process Regression / GPR

Gaussian Process Regression

A nonparametric Bayesian regression method based on a Gaussian process prior, commonly used for prediction and missing-value imputation on spatially correlated data.

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Oct 17

Common statistical imputation methods include Gaussian process regression based on correlation with neighboring sky regions, sparse representations, or deep learning generative models.

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Common statistical imputation methods include Gaussian process regression based on correlation with neighboring sky regions, sparse representations, or deep learning generative models.

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