5 posts with this tag
In the last post I talked about how to find the coefficients that give us the line of best fit for a OLS regression problem using the normal solution. The core of this approach is the equation: $$ X^TXb = X^Ty $$The way we solved this in the previous …
When I first learned least-squares linear regression in my undergrad degree, I remember that we approached it in the "calculus" way: taking the sum of the squared differences for each observation and solving a massive (and tedious) equation until we …
Part of the series Linear Algebra Basics 1. Working with matrices: addition, subtraction and multiplication 2. Working with matrices: inversion 3. Working with matrices: powers and transposition Today, we'll complete our series on basic matrix …
Part of the series Linear Algebra Basics 1. Working with matrices: addition, subtraction and multiplication 2. Working with matrices: inversion 3. Working with matrices: powers and transposition Today we will continue our discussion of the basic …
Part of the series Linear Algebra Basics 1. Working with matrices: addition, subtraction and multiplication 2. Working with matrices: inversion 3. Working with matrices: powers and transposition Last year, I had the chance to enrol in a mathematics …