November 2016
Beginner to intermediate
282 pages
6h 58m
English
Undergraduate or graduate students, scientists, and data scientists who are not familiar with the Bayesian statistical paradigm and wish to learn how to do Bayesian data analysis. No previous knowledge of statistics is assumed, for either Bayesian or other paradigms. The required mathematical knowledge is kept to a minimum and all concepts are described and explained with code, figures, and text. Mathematical formulas are used only when we think it can help the reader to better understand the concepts. The book assumes you know how to program in Python. Familiarity with scientific libraries such as NumPy, matplotlib, or Pandas is helpful but not essential.
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