(If you were hoping for dogs, try here: @weratedogs.com)
9/10 because there's no mention of the traffic.
9/10 because there's no mention of the traffic.
12/10 Ten for the graphs, plus two for casually flipping "causal inference is a missing data problem"
From Mohan & Pearl (2021) "Graphical Models for Processing Missing Data"
12/10 Ten for the graphs, plus two for casually flipping "causal inference is a missing data problem"
From Mohan & Pearl (2021) "Graphical Models for Processing Missing Data"
9/10 because of the functional form specificity.
From Steiner et al. (2017) "Graphical Models for Quasi-experimental Designs"
9/10 because of the functional form specificity.
From Steiner et al. (2017) "Graphical Models for Quasi-experimental Designs"
14/10. Ten for the DAG, plus one for each cute guinea-pig node.
From Wright (1920) "The Relative Importance of Heredity and Environment in Determining the Piebald Pattern of Guinea-Pigs"
14/10. Ten for the DAG, plus one for each cute guinea-pig node.
From Wright (1920) "The Relative Importance of Heredity and Environment in Determining the Piebald Pattern of Guinea-Pigs"
We like to explain it with capybaras and bicycles.
We like to explain it with capybaras and bicycles.
This is the first of three bananadags in Hitchcock (2016) "Conditioning, intervening, and decision".
This is the first of three bananadags in Hitchcock (2016) "Conditioning, intervening, and decision".
We rate DAGs. Some are great. Some are... not so great. But we rate them all.
Let's start with a famous powerpoint hairball a.k.a. "the Afghanisdag", presented to Gen. Stanley A. McChrystal around 2010. His own rating?
1/10 "When we understand that slide, we'll have won the war"
We rate DAGs. Some are great. Some are... not so great. But we rate them all.
Let's start with a famous powerpoint hairball a.k.a. "the Afghanisdag", presented to Gen. Stanley A. McChrystal around 2010. His own rating?
1/10 "When we understand that slide, we'll have won the war"