Second derivation of least squares

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En provenance du cours de Johns Hopkins University
Advanced Linear Models for Data Science 1: Least Squares
77 notes
À partir de la leçon
General least squares
We now move on to general least squares where an arbitrary full rank design matrix is fit to a vector outcome.

Rencontrer les enseignants

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

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