The authors present the material in an accessible style and motivate concepts using real-world examples. The print book version includes a code that provides free access to an eBook version. Additional application areas explored include genetics, medicine, computer science, and information theory.
The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC).
Pdf File: introduction-to-probability.pdfĭeveloped from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty.
