ABSTRACT

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 ar

chapter 1|28 pages

Sets, Events and Probability

chapter 2|18 pages

Finite Processes

chapter 3|40 pages

Discrete Random Variables

chapter 4|32 pages

General Random Variables

chapter 5|46 pages

Statistics and the Normal Distribution

chapter 6|44 pages

Conditional Probability

chapter 7|32 pages

The Poisson Process

chapter 8|34 pages

Randomization and Compound Processes

chapter 9|28 pages

Entropy and Information

chapter 10|40 pages

Markov Chains