Brady Neal Causality 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-problem On 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-update Which 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