E534 Fall2020 Physics Part IV 8.Interpretation of Probability: Bayes v. Frequency
Channel: Digital Science Center Courses
Date: 2014-01-30

E534 2019 Big Data Applications and Analytics Discovery of Higgs Boson: Big Data Higgs Unit 11: Looking for Higgs Particles Part IV: Random Numbers, Distributions and Central Limit Theorem
Unit Overview: Geoffrey discusses Random Numbers with their Generators and Seeds. It introduces Binomial and Poisson Distribution. Monte-Carlo and accept-reject methods are discussed. The Central Limit Theorem and Bayes law concludes discussion. Python and Java (for student - not reviewed in class) examples and Physics applications are given.

11.8 - Interpretation of Probability: Bayes v. Frequency
Lesson Summary: This lesson describes difference between Bayes and frequency views of probability. Bayes's law of conditional probability is derived and applied to Higgs example to enable information about Higgs from multiple channels and multiple experiments to be accumulated.