document: Regularization of linear regression problems The study considers robust estimation of linear regression parameters by the regularization method , the pseudoinverse method , and the Bayesian method allowing for correlations and errors in the data . Regularizing algorithms are constructed and their relationship with pseudoinversion , the Bayesian approach , and BLUE is investigated
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