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Statistical Modeling, Causal Inference, and Social Science
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Last updated about 16 hours ago
If Books Could Kill podcast
about 16 hours ago
As we’ve discussed, the If Books Could Kill podcast has its issues...
Why are there squares everywhere in statistics (e.g., normal density, variance, least squares, etc.)?
1 day ago
I remember asking my colleagues at Carnegie Mellon this very same question...
Sean Manning’s lexicon
1 day ago
Unlike me, the historian lists his entries not chronologically but alphabetically Abstraction...
When is it time for a Five-Year Plan?
3 days ago
The term “Five-Year Plan” is a bitter joke, referring to the announcements...
Alchemize: PyMC’s model to replace Stan/PyMC, etc. with an LLM
3 days ago
This post is from Bob I’ll let Thomas Wiecki, who is one...
“As our daily lives involve ever more sophisticated computers, we will find that ascribing little thoughts to machines will be increasingly useful in understanding how to get the most good out of them” but “we must be careful not to ascribe properti
4 days ago
This is Jessica. Maybe one of the biggest crimes of academic computer...
“DC Conventional Wisdom Goes Down to Defeat in State after State”
4 days ago
Josh Marshall writes Elections are hard to predict. But even with that,...
Recent discoveries on the acquisition of the highest levels of statistical fallacies
5 days ago
Mark Goldstein points us to this post by Alex Dimakis, who writes...
Survey Statistics: relevant alternatives ?
5 days ago
Three weeks ago we modeled vote choice with candidates C = {Left...
The Application Matters: Medical Ethics and Counterfactual Utilities
5 days ago
I believe, as applied statisticians, we need to get our hands dirty...
I’m on the EPA science advisory board.
6 days ago
I just joined, and I’m one of 37 people on the board...
It kinda makes sense that you can know roughly 700 people.
7 days ago
In planning my new course I read through Daniel Bell’s 1973 book...