✳flâneur — a map of the web's best reading
Getting In To A Causal Flow - Causal Flows
causalflows.substack.com · 1,276 words · saved by 1 readers
What is causal inference? Why is it useful? How can you use to amplify your decision-making capabilities?
Getting In To A Causal Flow What is causal inference? Why is it useful? How can you use to amplify your decision-making capabilities? Ken Acquah May 22, 2020 6 Share Why Should You Care? Most, if not all, business analytics questions, are inquiries of cause and effect . Designers estimate the extent to which UX changes effect user engagement metrics. Finance departments estimate the returns generated from costly corporate initiatives. Marketers fine-tune email newsletters and subscription services to estimate how their improvements can help to minimize churn rates. In statistics and econometri
Explore this link on the map →saved by
related reading
- 1 Introduction – <span style='font-weight: 700'>Causal Inference</span><br/> <i style='color: #00b7ff'>The Mixtape</i>mixtape.scunning.com
- Causal inference as a blind spot of data scientists | Science & technology experimentsdzidas.com
- 7 Instrumental Variables – <span style='font-weight: 700'>Causal Inference</span><br/> <i style='color: #00b7ff'>The Mixtape</i>mixtape.scunning.com
- 4 Potential Outcomes Causal Model – <span style='font-weight: 700'>Causal Inference</span><br/> <i style='color: #00b7ff'>The Mixtape</i>mixtape.scunning.com
- Faithful, Interpretable Model Explanations via Causal Abstraction | SAIL Blogai.stanford.edu
- Spurious Correlationstylervigen.com
- CAUSE, EFFECT, AND THE STRUCTURE OF THE SOCIAL WORLD. MEGAN T. STEVENSONbu.edu
- Causation and Manipulability (Stanford Encyclopedia of Philosophy)plato.stanford.edu
- Frederick Eberhardtits.caltech.edu
- Causal Scrubbing: a method for rigorously testing interpretability hypotheses [Redwood Research] — LessWronglesswrong.com
- CausaLab — Can LLM Agents Discover Causal Mechanisms by Experiment?dylanzsz.github.io
- Research Designs | Nobanobaproject.com