Probability, Random Variables and Stochastic Processes
by Athanasios Papoulis
Recommended by Nassim Nicholas Taleb
Check price on AmazonProof-backed recommendation
Amazon availability
Should I read this?
Recommended by 2 sources and appears in Most Recommended Books, Programming, and Technology.
Looking for Kindle, hardcover, paperback, or audiobook editions?
Check formats, pricing, and current availability directly.
Why recommended
Recommended by 2 sources and appears in Most Recommended Books, Programming, and Technology.
Recommended by notable people
People and public figures who have recommended this book.
Recommendation Signals
Recommendation proof is sourced from public posts, interviews, reading lists, and cited references.
Nassim Nicholas Taleb
Author, essayist, mathematical statistician, and risk analyst
“I always always recommend the book by Anastassios Papoulis. 1) Never start with stats, start with probability. 2) Never read a stat textbook not written by a probabilist. Beware, there are plenty, plenty, plenty of stats books written by psychologists!”
Ready to read Probability, Random Variables and Stochastic Processes?
Check formats, pricing, and availability options directly on Amazon.
Appears In

Not sure if this is the right fit?
Consider Dealers of Lightning by Michael A. Hiltzik. Recommended by 8 sources.
“Starts as a vivid inventory of inventors, projects, and lab culture at Xerox PARC, written in reporterly detail that foregrounds anecdotes and corporate memos. Main value is a textured sense of how early GUI, networking, and printing research happened and how personalities and management decisions shaped outcomes. Limitation: the narrative can dwell on minutiae and internal politics, slowing forward momentum and offering few clear takeaways for readers seeking practical lessons or modern startup playbooks. It reads like sustained magazine reporting, so detail-oriented readers are rewarded while those after a brisk how-to may be frustrated.”
Similar books
How recommendation signals are reviewed
Each recommendation is collected from a public source — interviews, articles, or curated lists — and linked to its original URL. Books with many verifiable recommendations from respected people rank higher.







