Contents of the paper

First Examples Section

whole iframe

Notes on Prologue

  • non-bayesians say bayesian is one way of doing things
  • bayesians say
    • bayesian is the right way of doing things
    • non-bayesian methods are approximations or an alternative when bayesian too hard to calculate

Notes on Introduction

  • we believe all sorts of things and do not believe others
  • even though we strictly dont have all information we need to be 100% certain
  • statistics is a tool when we cannot be 100% certain
  • in bayesian statistics probabilities are in the mind, not in the world
  • i.e. when we obtain more information the probabilities in our mind change
  • bayesian methods tell us exactly how to update our probabilities when we get new information

Notes on First Examples

  • we start with prior probabilities and we update these with data to get posterior probabilities
  • Bayes box is a table that helps up calculate posterior probabilities more easily
  • we start by choosing values for prior probabilities and assigning to our competing hypotheses
  • bayes rule
  • bayes box is basically applying bayes rule lots of times, once for each hypothesis
  • phone example
  • we now get onto important equations

notes chapter 4 onwards


Table of contents


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