Posts
My thoughts and ideas
My thoughts and ideas
We discuss the decomposition of AR models into components, and how eigenvalues are involved (because they always are).
Markov Chain Monte Carlo is a tool for sampling otherwise intractible distributions. In this post, we’ll go through some descriptions, reasoning, and examples therein.
Linear Regression is the bedrock of Machine Learning. We cover the basics therein, some theory involved, and give some relevant examples.
We cover probability from a measure theoretic approach