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Курс: Advanced Linear Models for Data Science 1: Least Squares. Чтобы вернуться, нажмите
здесь
.
Introduction
Matrix derivatives
Coding example
Centering by matrix multiplication
Coding example
Variance via matrix multiplication
Coding example
Regression through the origin
Centering first
Coding example
Connection with linear regression
Coding example
Fitted values and residuals
Least squares
Coding example
Prediction
Coding example
Residuals
Coding example
Generalizations
Generalizations example
Least squares
Coding example
Second derivation of least squares
Projections
Third derivation of least squares
Coding example
Basic examples of design matrices and fits
Group effects
Change of parameterization
ANCOVA
Bases, introduction
Bases 2, Fourier
Bases 3, SVDs
Bases, coding example
Introduction to residuals
Partitioning variability