@xiangao.bsky.social
December 13, 2025 at 11:36 PM
Reposted
After two weeks, I'm finally done!

In this post, I explain different approaches for solving linear regression in R: directly, using QR, singular value and Cholesky decompositions, and do some benchmarking for comparison with in-built approaches.

thomvolker.github.io/blog/2506_re...
June 18, 2025 at 2:22 PM
Reposted
@maxkasy.bsky.social uses POs in his bandit and reinforcement learning slides here maxkasy.github.io/home/ML_Oxfo...
Foundations of Machine Learning
Research on machine learning, experimental design, economic inequality, and optimal policy
maxkasy.github.io
January 16, 2025 at 8:47 AM
Reposted
#rstats and #QuartoPub PSA: @vincentab.bsky.social's {tinytable} is the absolute best table making package out there for LaTeX output (it natively supports tabularray!), and it's phenomenal for HTML. It has fully replaced {gt} and {kableExtra} for me vincentarelbundock.github.io/tinytable/
January 11, 2025 at 8:38 PM
Reposted
I wrote this up here: aeturrell.com/blog/posts/c...
Arthur Turrell
Arthur Turrell is an economic data scientist.
aeturrell.com
December 28, 2024 at 1:22 PM
Reposted
Those who used to follow me on Twitter know that I tediously made the distinction between a model and an estimation method. In one thread, I considered regressions in a treatment effect context:

Y on 1, D, X
Y on 1, D, X, D*(X - Xbar)

It is common to refer to the first as "OLS."
December 19, 2024 at 2:21 PM
Reposted
Says a lot that it's often easier to process/analyze European data using FRED than using European sources
December 6, 2024 at 2:03 PM