Editorial Review:
Based on a popular course taught by the late Gian-Carlo Rota of MIT, with many new topics covered as well, Introduction to Probability with R presents R programs and animations to provide an intuitive yet rigorous understanding of how to model natural phenomena from a probabilistic point of view. Although the R programs are small in length, they are just as sophisticated and powerful as longer programs in other languages. This brevity makes it easy for students to become proficient in R. This calculus-based introduction organizes the material around key themes. One of the most important themes centers on viewing probability as a way to look at the world, helping students think and reason probabilistically. The text also shows how to combine and link stochastic processes to form more complex processes that are better models of natural phenomena. In addition, it presents a unified treatment of transforms, such as Laplace, Fourier, and z; the foundations of fundamental stochastic processes using entropy and information; and an introduction to Markov chains from various viewpoints. Each chapter includes a short biographical note about a contributor to probability theory, exercises, and selected answers.
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Customer Reviews
Average Customer Rating: 
A Fun Book on Probabiliy with R 2008-07-01
I read the book. It is a calculus based introduction to probability, including Markov chains. There is only a little statistics here (estimation and testing) so the book is not appropriate for a statistics course. The author includes many classical probability problems - such as the birthday problem and the secretary problem. I was left with the feeling that the author has a good sense of humor, lots of experience, and that he really enjoys the material. Finally, there is an introduction to R with some lovely little R programs for probability. [...]. Highly recommended.
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