Every post, ordered like a bound volume

A chronological archive of the notebook: statistics, machine learning, and the surrounding methods that make quantitative reasoning useful.

2020

1 post

Notes on Bayesian inference, prior and posterior distributions, Bayes estimators, and Jeffreys' prior from MITx Fundamentals of Statistics

5 posts

Notes on T-tests, Wald's test, likelihood ratio tests, and goodness of fit tests from MITx 18.6501x Fundamentals of Statistics

Notes on MLE, method of moments, M-estimation, Fisher information, and delta method from MITx Fundamentals of Statistics

How to fix common LaTeX rendering issues in GitHub Pages with MathJax, including inline math escaping for pipes, braces, and underscores

Notes on estimation, confidence intervals, hypothesis testing, and the delta method from MITx Fundamentals of Statistics

Notes from MITx 18.6501x Fundamentals of Statistics covering probability, statistics, LLN, CLT, and fundamental inequalities