(eBook PDF) Introduction to Probability, Second Edition – Digital Ebook – Instant Delivery Download

Product details:

• ISBN-10 ‏ : ‎ 1138369918
• ISBN-13 ‏ : ‎ 978-1138369917
• Author: Joseph K. Blitzstein (Author), Jessica Hwang (Author)

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and toolsfor understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory.

Table contents:

1. Probability and Counting
2. Conditional Probability
3. Random Variables and Their Distributions
4. Expectation
5. Continuous Random Variables
6. Moments
7. Joint Distributions
8. Transformations
9. Conditional Expectation
10. Inequalities and Limit Theorems
11. Markov Chains
12. Markov Chain Monte Carlo
13. Poisson Processes

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