Section 1 Course Overview

This document will include important links and course notes for 16:790:677:01: Maximum Likelihood Estimation.

  • This webpage will be updated throughout the semester with new content. This initial content in Sections 2 and 3 is optional, but encouraged, and includes tutorials and resources for basics in R and mathematical concepts used in the course. Material introduced in the course will assume some familiarity with these concepts. I recommend you go through on your own leading up to and during the first week of the course. You can then always return to it throughout the course and beyond. I always have to return to it because I don’t often keep the special rules of logarithms and derivatives in my working memory.
  • Sprinkled throughout this document are links to additional resources that might provide more in-depth explanations of a given topic. In particular, several of the sections have benefited from previous materials developed by Kosuke Imai and the book Quantitative Social Science, Chris Bail and SICSS, Marc Ratkovic, In Song Kim, Will Lowe, and others.
  • This is a new and living document. If you spot errors or have questions or suggestions, please email me at .