Future Post Machine Learning for Causal Inference: Synthetic Control and Double Machine Learning

Future Post Machine Learning in Julia using MLJ.jl

less than 1 minute read

Published: July 11, 2021

Future Post Random Variables in Julia compared to MATLAB/R/STATA/Mathematica/Python

3 minute read

Published: June 11, 2021

This post compares the way random variables are handled in Julia/MATLAB/R/STATA/Mathematica/Python. It was inspired by Bruce Hansen’s recent textbook which compares statistical commands in Matlab/R/STATA on page 114. This post will focus on the main methods for working with random variables in a language: e.g. Distributions.jl is the flagship Julia package for random variables, MATLAB’s internal distributions, Base R, Base STATA, Mathematica, and Python’s SciPy.

Simpson’s Paradox is a Special Case of Omitted Variable Bias

9 minute read

Published: April 11, 2021

The goal of this post is to illustrate a point made in a recent tweet by Amit Ghandi that Simpson’s Paradox is a special case of omitted variable bias.