PDF(520 pages 3MB): Download Another Best Probability Theory Textbook

This book first explains the basic ideas and concepts of probability theorem through the use of motivating real-world examples before presenting the theory in a very clear way. I found a nice feature of the textbook the fact that simulation is deliberately used to develop probabilistic concept. 

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The textbook also elaborate more advanced topics you will not easily find in other introductory probability books. The more advanced topics include Kelly betting, random walks, and Brownian motion, Benford's law, and absorbing Markov chains for success runs. Another asset of the book is a great introduction to Bayesian inference.

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