This book presents the most important ideas behind Bayes' Rule in a form suitable for the general reader. It is written without formulae because they are not necessary; the ability to add and multiply is all that is needed. As well as showing in full the application of Bayes' Rule to some quantitatively simple, though not trivial, examples, the book also convincingly demonstrates that some familiarity with Bayes' Rule is helpful in thinking about how best to structure one's thinking.
This book presents the most important ideas behind Bayes' Rule in a form suitable for the general reader. It is written without formulae because they are not necessary; the ability to add and multiply is all that is needed. As well as showing in full the application of Bayes' Rule to some quantitatively simple, though not trivial, examples, the book also convincingly demonstrates that some familiarity with Bayes' Rule is helpful in thinking about how best to structure one's thinking.
Alan Jessop holds degrees in Civil Engineering and Computer Science. Before his current position as MBA Director at the Business School in Durham, UK, he worked as a transport planner in local government and as a consultant. Primarily teaching MBA students, he has lectured at the University of Westminster, UK, the University of Warwick, UK and at the European Business School near Frankfurt, Germany. Jessop's research focuses on multi-attribute decision-making and design patterns.
Inhaltsangabe
Introduction.- Section A. Likelihood.- Section B. Base rate.- Section C. Application.- Conclusion.