title: Regularization of linear regression problems
abstract: 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
keyphrases: robust estimation linear regression parameters pseudoinverse method pseudoinversion Bayesian method Bayesian approach BLUE linear regression problems regularization