The Curious Zombie's Guide to Bayes' Theorem
Weighing evidence and making decisions: The math behind the odds
Embedded Files
Bayes’ Theorem shows us how to assess the likelihood of an event occurring, based upon our prior knowledge of it.
It is something that should be familiar to every scientist, philosopher, medical practitioner, mathematician, actuary, engineer, detective, and professional gambler - to name but a few of the many, many fields in which the application of this powerful approach can be profoundly illuminating.
This short guide was written for anybody looking for brief, accessible and non-mathematical introduction to Bayes’ Theorem.
"Ably written and convincing without getting trapped in complex math. General physicians need to read this before advising their patients on the meaning of tests they prescribe"
"Great Bayes Primer. Well written with an emphasis on clarity of thinking and relatable examples. An excellent point of entry for Bayes Theorem and its application."
"Great real world examples. This text is a quick read and demonstrates, in real world examples, how seemingly obvious conclusions can be distorted by overly simplistic logic."
"Chatty, intuitive introduction to Bayes Theorem. If you’re a scientist, engineer, or even just a curious layperson who reads the occasional article about healthcare, AI or data science, you’ll probably have encountered references to “Bayes’ Theorem”. You might also have a fuzzy understanding of it, or otherwise wonder what all the fuss is about. Gordon Webster’s The Curious Zombie’s Guide to Bayes Theorem is a good place to sharpen that understanding and appreciate the importance of Bayesian thinking to our modern world."
"Great Examples. The examples are thoroughly explained and each aspect of Bayes’ Theorem is explored in careful detail. Perfect for an introduction or reference."
Page updated
Google Sites
Report abuse