• Bayesian
• In contrast, the Bayesian approach uses Bayes' Theorem to formally combine prior information with current information on a quantity of interest. (thefreelibrary.com)
• Bayesian rationality takes its name from this theorem, as it is regarded as the foundation of consistent rational reasoning under uncertainty. (lesswrong.com)
• You can further extend Naïve Bayes to represent relationships that are more complex than a series of factors that hint at the likelihood of an outcome using a Bayesian network, which consists of graphs showing how events affect each other. (dummies.com)
• equation
• A formula is not very intuitive though, so let's just ignore that for now because an equation is not needed for actually understanding Bayes' Theorem. (skepchick.org)
• correctly
• No, the goal of the tutorial below is to give you a true understanding of Bayes' Theorem so that can apply it correctly in the complexities of real life that exist beyond the exam sheet. (commonsenseatheism.com)
• statistics
• This month, Revolution Analytics' partner IBM Netezza commemorates Bayes' contributions to Statistics with a series of videos on Bayes Theorem, its applications, and the implications for Big Data and predictive analytics. (r-bloggers.com)
• calculate
• That is exactly what Bayes seeks to calculate. (theness.com)
• It would be cool if you found a way to work in the existence of Cox's theorem -- when I encountered it, I had never thought about why the laws of probability were given as they are, or if there could be a different consistent way to represent and calculate probability besides multiplying numbers together. (lesswrong.com)
• simple
• Later on, it turned out to have been a simple mistake -- the test was a false positive, and the 999 out of 1,000 figure had been based on a lack of understanding about Bayes' Theorem. (lesswrong.com)
• I was panicy over Bayes Theorem but it turns out, its pretty simple. (davidsherlock.info)
• find
• No, for the same reason we aren't surprised when we find that logistic regression outperforms naive Bayes. (johndcook.com)
• shows
• Bayes also shows mathematically why confirmatory tests are so powerful. (theness.com)
• Luckily Bayes' theorem shows us how to take it in into account. (maths.org)
• The following example shows how things work in a Naïve Bayes classification. (dummies.com)
• application
• The assumption of equivalent confidence is necessary to justify application of Bayes' theorem to any finite sample. (johndcook.com)
• goes
• The book goes back to Bayes' theorem constantly, and for excellent reasons - it's an exceptionally powerful way to honestly gauge a complex reality based on estimable probabilities, and is perhaps the most important theory in modern probability. (businessinsider.com)
• things
• At the moment, I'm thinking about how to design the class, so I'd appreciate any suggestions as to what content I should cover, the best format, clear ways to explain it, cool things related to Bayes' Theorem, good links, and so forth. (lesswrong.com)
• However
• However, it seems that when it became widely discussed in the early 1900s with increased investigation of probability, it was generally referred to as Bayes' . (stackexchange.com)
• understand
• Maybe you see the theorem, and you understand the theorem, and you can use the theorem, but you can't understand why your friends and/or research colleagues seem to think it's the secret of the universe. (commonsenseatheism.com)
• call
• If you want people to sign up for your class, don't call it Bayes Theorem, or anything equally boring (not many people can even pronounce 'representativeness heuristic' on the first try). (lesswrong.com)
• different people still treat the pronunciation of possessives like Jones'(s) differently today), so we call it Bayes' theorem, pronounced bays to rhyme with maze . (stackexchange.com)
• applications
• Because since then, Bayes Theorem has been the underpinning of predictive analytics applications from spam detection to medical alerts. (r-bloggers.com)