Transcription of Think Bayes - Green Tea Press
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Think Bayes - Green Tea Press
Think BayesBayesian Statistics Made SimpleVersion BayesBayesian Statistics Made SimpleVersion B. DowneyGreen Tea PressNeedham, MassachusettsCopyright 2012 Allen B. Tea Press9 Washburn AveNeedham MA 02492 Permission is granted to copy, distribute, and/or modify this documentunder the terms of the Creative Commons Unported License, which is available My theory, which is mineThe premise of this book, and the other books in theThink Xseries, is that ifyou know how to program, you can use that skill to learn other books on Bayesian statistics use mathematical notation and presentideas in terms of mathematical concepts like calculus. This book usesPython code instead of math, and discrete approximations instead of con-tinuous mathematics. As a result, what would be an integral in a math bookbecomes a summation, and most operations on probability distributions aresimple Think this presentation is easier to understand, at least for people with pro-gramming skills.
vi Chapter 0. Preface real-world system to include in the model and which details we can abstract away. For example, in Chapter 7, the motivating problem is to predict the winner
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