Third derivation of least squares

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From the course by Университет Джонса Хопкинса
Advanced Linear Models for Data Science 1: Least Squares
72 ratings
Университет Джонса Хопкинса
72 ratings
From the lesson
General least squares
We now move on to general least squares where an arbitrary full rank design matrix is fit to a vector outcome.

Meet the Instructors

  • Brian Caffo, PhD
    Brian Caffo, PhD
    Professor, Biostatistics
    Bloomberg School of Public Health

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