Resources

Published

May 20, 2024

Library of Explantations

The internet is full of amazing explanations for all sorts of concepts. The following link is a running list of explanations that I found very insightful. Each author is tagged in the explanation and all credit belongs to the author cited. I have tried my best to credit every author for a page, but if I have missed someone: (a) I apologize and (b) let me know so I can correct that.

Library of Explanations!

Explanatory Academic Papers

Below is a list of academic papers that explain some methodology or concept. The purpose of this list to collect papers that helped me understand a topic and may not contain the first paper to come up with an idea.

List of academic papers

Disclaimer: While visualizations are a good hook for getting people interested in mathematics, they should not be used as the sole learning tool. Do read this essay that talks about the possibilities and limitations of visual explainers.

Textbooks and References

The following is a list of textbooks and references that I have found to be helpful, many of which are freely available.

Freely available | Full List

Understanding linear models, ANOVA and experimental design is really important for statisticians, especially when doing statistical consulting and the most informative books in this reagard are:

Blogs

Statistics Blogs:

Visualizing Measure Theory

The level of abstraction provided by measure theory is the reason why it is a powerful and general tool for proving results in mathematics. However, this abstraction also makes it difficult to understand the concepts in measure theory. The following are a few interactive demos I made for myself to understand measure theory. They are incomplete and I have added little exposition if any. I plan to update them sometime in the future.

Convergence of Random Variables demo
Lebesgue Integral demo