Brady NealCausality Blog - Brady Neal's personal website and blog about causal inference and machine learning.
https://www.bradyneal.com/
When the Fundamental Problem of Causal Inference Ain't No Problem
The Fundamental Problem of Causal Inference Consider the potential outcomes Yi(t)Y_i(t)Yi(t) and Yi(t′)Y_i(t')Yi(t′), where Yi(t)Y_i(t)Yi(t) denotes the outcome YYY that unit (individual) iii would have if unit iii receives treatment ttt. If you prefer do-notation, P(Y∣do(T=t),i)P \big(Y | \text{do}(T = t), i \big)P(Y∣do(T=t),i) is the do-notation equivalent of Yi(t)Y_i(t)Yi(t). The...
Thu, 23 Jan 2020 00:00:00 -0800
https://www.bradyneal.com/fundamental-problem-of-causal-inference-no-problem
https://www.bradyneal.com/fundamental-problem-of-causal-inference-no-problemOn the Bias-Variance Tradeoff: Textbooks Need an Update
A Modern Perspective -
TL;DR and Preamble TL;DR: It is not always necessary to trade bias for variance when increasing model complexity. Preamble: the charge of the electron, Millikan’s experiment, and anchoring Richard Feynman made an insightful observation about the history of measurements of the charge of the electron: Millikan’s first measurement was noticeably...
Sun, 05 Jan 2020 00:00:00 -0800
https://www.bradyneal.com/bias-variance-tradeoff-textbooks-update
https://www.bradyneal.com/bias-variance-tradeoff-textbooks-updateWhich causal inference book you should read
A flowchart and a list of short book reviews -
Last updated: August 18, 2020 Disclaimer: I haven’t read 2 of the books in the flowchart below. However, I still list them in the flowchart because I think I know enough about them to do so. You can read short reviews of the ones I read below under the “Mini...
Sat, 23 Nov 2019 00:00:00 -0800
https://www.bradyneal.com/which-causal-inference-book
https://www.bradyneal.com/which-causal-inference-book