slides
In this post I will describe the setup of linear regression, and main results. I will be looking at the fixed design setting, which is where we assume that the covariates $x_i^0$ are fixed, and the...
Confounding variables A classical example of a confounding variable, and that correlation does not imply causation, is the incorrect assumption that an increase in ice cream sales causes an increa...
In this post I will describe Principal Component Analysis (PCA), and in particular sample PCA. I show that the common definition of PCA can be formulated as finding the “best” low rank approximatio...
Vector Databases
Linear Regression - Diagnostic Plots
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