Bayes's Theorem

Bayes's Theorem

1/8/2016

link

https://blogs.scientificamerican.com/cross-check/bayes-s-theorem-what-s-the-big-deal/

summary

This blog post on Scientific American discusses the significance of Bayes's theorem in the field of statistics and scientific reasoning. Bayes's theorem is a mathematical formula that helps calculate the probability of an event based on prior knowledge or information. The article explains the theorem in simple terms and discusses its importance in various disciplines, including medicine, forensics, and even everyday decision-making. The author emphasizes that understanding and applying Bayes's theorem can lead to more rational and informed conclusions, as it allows for the consideration of both prior beliefs and new evidence.

tags

mathematical modeling ꞏ bayesian inference ꞏ critical thinking ꞏ bayesian statistics ꞏ scientific evidence ꞏ scientific communication ꞏ probability theory ꞏ reasoning ꞏ cognitive bias ꞏ scientific inquiry ꞏ logical thinking ꞏ uncertainty ꞏ scientific laws ꞏ scientific principles ꞏ scientific reasoning ꞏ cognitive science ꞏ scientific investigation ꞏ scientific discourse ꞏ data interpretation ꞏ statistics ꞏ evidence ꞏ hypothesis testing ꞏ skepticism ꞏ scientific skepticism ꞏ theory of knowledge ꞏ philosophy of statistics ꞏ rationality ꞏ scientific critique ꞏ belief ꞏ scientific method ꞏ scientific research ꞏ scientific discovery ꞏ cognitive psychology ꞏ scientific debate ꞏ bayes' theorem ꞏ data analysis ꞏ scientific literacy ꞏ scientific knowledge ꞏ probability ꞏ decision making ꞏ philosophy of science ꞏ scientific explanations ꞏ logic ꞏ conditional probability ꞏ scientific writing ꞏ scientific thinking ꞏ scientific articles